Triple
T13875440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōtō |
E333569
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Shinonome
Shinonome is a district in Kōtō, Tokyo, known for its modern waterfront residential developments and proximity to the Tokyo Bay area.
|
E1067068
|
NE FINISHED |
How this triple was built (4 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: Shinonome | Statement: [Kōtō, contains, Shinonome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinonome Context triple: [Kōtō, contains, Shinonome]
-
A.
Katsumi
Katsumi is a minor character appearing in the story "Sayonara," contributing to its supporting cast and narrative development.
-
B.
Saeki no Kuramoto
Saeki no Kuramoto is a historical Japanese figure traditionally credited with establishing the famous Itsukushima Shrine on Miyajima Island.
-
C.
Aishō
Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
-
D.
Hyakuichi Shinron
Hyakuichi Shinron is a major philosophical work by Japanese thinker Nishi Amane that helped introduce and systematize Western philosophy and logic in modern Japan.
-
E.
Yotsugi
Yotsugi is a residential neighborhood in Tokyo, Japan, located within Katsushika Ward and known for its local shopping streets and traditional shitamachi atmosphere.
- 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: Shinonome Triple: [Kōtō, contains, Shinonome]
Generated description
Shinonome is a district in Kōtō, Tokyo, known for its modern waterfront residential developments and proximity to the Tokyo Bay area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shinonome Target entity description: Shinonome is a district in Kōtō, Tokyo, known for its modern waterfront residential developments and proximity to the Tokyo Bay area.
-
A.
Katsumi
Katsumi is a minor character appearing in the story "Sayonara," contributing to its supporting cast and narrative development.
-
B.
Saeki no Kuramoto
Saeki no Kuramoto is a historical Japanese figure traditionally credited with establishing the famous Itsukushima Shrine on Miyajima Island.
-
C.
Aishō
Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
-
D.
Hyakuichi Shinron
Hyakuichi Shinron is a major philosophical work by Japanese thinker Nishi Amane that helped introduce and systematize Western philosophy and logic in modern Japan.
-
E.
Yotsugi
Yotsugi is a residential neighborhood in Tokyo, Japan, located within Katsushika Ward and known for its local shopping streets and traditional shitamachi atmosphere.
- F. None of above. chosen
Provenance (5 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be556708190bbcf0b3583f677e3 |
completed | April 14, 2026, 9:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c109ac5c819090b2b7e43334f904 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c2c711948190ac614291592a7e03 |
completed | May 3, 2026, 9:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c36f28b48190b734a9e5e7ae39b9 |
completed | May 3, 2026, 9:51 p.m. |
Created at: April 9, 2026, 10:15 p.m.