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.