Triple
T6307793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōiso |
E141421
|
entity |
| Predicate | hasCityHallAddress |
P796
|
FINISHED |
| Object |
Ōiso-machi, Naka-gun, Kanagawa Prefecture, Japan
Ōiso-machi is a coastal town in Naka District of Kanagawa Prefecture, Japan, known as a residential and seaside resort area with historical significance.
|
E584740
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ōiso-machi, Naka-gun, Kanagawa Prefecture, Japan | Statement: [Ōiso, hasCityHallAddress, Ōiso-machi, Naka-gun, Kanagawa Prefecture, Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōiso-machi, Naka-gun, Kanagawa Prefecture, Japan Context triple: [Ōiso, hasCityHallAddress, Ōiso-machi, Naka-gun, Kanagawa Prefecture, Japan]
-
A.
Hadano, Kanagawa Prefecture, Japan
Hadano, in Kanagawa Prefecture, Japan, is a suburban city known for its natural scenery at the foot of the Tanzawa Mountains and as the hometown of actress Rinko Kikuchi.
-
B.
Atsugi, Kanagawa, Japan
Atsugi, in Kanagawa Prefecture, Japan, is a city in the Greater Tokyo area known for its mix of residential neighborhoods, industrial facilities, and technology-related offices.
-
C.
Yokosuka, Kanagawa, Japan
Yokosuka, in Kanagawa Prefecture, Japan, is a major naval port city hosting both Japanese and U.S. military bases and serving as an important maritime and industrial center.
-
D.
Hayama, Kanagawa, Japan
Hayama, Kanagawa, Japan is a coastal resort town near Tokyo known for its scenic beaches, imperial villa, and association with the Japanese imperial family.
-
E.
Yokohama, Kanagawa, Japan
Yokohama, in Kanagawa Prefecture, is Japan’s second-largest city and a major international port known for its historic role in opening Japan to foreign trade and its modern waterfront skyline.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ōiso-machi, Naka-gun, Kanagawa Prefecture, Japan Triple: [Ōiso, hasCityHallAddress, Ōiso-machi, Naka-gun, Kanagawa Prefecture, Japan]
Generated description
Ōiso-machi is a coastal town in Naka District of Kanagawa Prefecture, Japan, known as a residential and seaside resort area with historical significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ōiso-machi, Naka-gun, Kanagawa Prefecture, Japan Target entity description: Ōiso-machi is a coastal town in Naka District of Kanagawa Prefecture, Japan, known as a residential and seaside resort area with historical significance.
-
A.
Hadano, Kanagawa Prefecture, Japan
Hadano, in Kanagawa Prefecture, Japan, is a suburban city known for its natural scenery at the foot of the Tanzawa Mountains and as the hometown of actress Rinko Kikuchi.
-
B.
Atsugi, Kanagawa, Japan
Atsugi, in Kanagawa Prefecture, Japan, is a city in the Greater Tokyo area known for its mix of residential neighborhoods, industrial facilities, and technology-related offices.
-
C.
Yokosuka, Kanagawa, Japan
Yokosuka, in Kanagawa Prefecture, Japan, is a major naval port city hosting both Japanese and U.S. military bases and serving as an important maritime and industrial center.
-
D.
Hayama, Kanagawa, Japan
Hayama, Kanagawa, Japan is a coastal resort town near Tokyo known for its scenic beaches, imperial villa, and association with the Japanese imperial family.
-
E.
Yokohama, Kanagawa, Japan
Yokohama, in Kanagawa Prefecture, is Japan’s second-largest city and a major international port known for its historic role in opening Japan to foreign trade and its modern waterfront skyline.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityHallAddress Context triple: [Ōiso, hasCityHallAddress, Ōiso-machi, Naka-gun, Kanagawa Prefecture, Japan]
-
A.
hasCityHall
chosen
Indicates that a location or administrative area possesses or is served by a specific city hall building or institution.
-
B.
cityHallOf
Indicates that one entity serves as the official city hall building or administrative center for the specified city.
-
C.
hasCourthouse
Indicates that a location or jurisdiction possesses or contains a courthouse.
-
D.
isMunicipalHomeOf
Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
-
E.
hasHeadquartersBuilding
Indicates that an organization possesses a specific building that serves as its headquarters location.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647d38008190abaf96632712ddf9 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e45330ec8190945682962ae823b0 |
completed | March 27, 2026, 1:58 a.m. |
| NEDg | Description generation | batch_69c5ed89dbc88190abda05d9d06fb7b5 |
completed | March 27, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5ee08cc488190baaafc1e679f83aa |
completed | March 27, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69c060e311b48190b1c74a5cf9435623 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:28 p.m.