Triple
T12592514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 世田谷区 |
E300641
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object |
大田区
大田区は、東京都南部に位置し、羽田空港を擁することで知られる特別区の一つです。
|
E993864
|
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: 大田区 | Statement: [世田谷区, hasNeighbour, 大田区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 大田区 Context triple: [世田谷区, hasNeighbour, 大田区]
-
A.
永田町
永田町 is a district in Tokyo’s Chiyoda Ward that serves as Japan’s political center, housing key government institutions and major party headquarters.
-
B.
本郷区
本郷区 was a former ward of Tokyo, historically known as an educational and cultural center that included areas around the University of Tokyo before being incorporated into modern Bunkyō Ward.
-
C.
千代田区
千代田区 is a central special ward of Tokyo that serves as Japan’s political and administrative core, encompassing the Imperial Palace, the National Diet, and numerous government and corporate headquarters.
-
D.
白石区
白石区 is one of the administrative wards of Sapporo in Hokkaido, Japan, known as a largely residential and commercial area with convenient access to the city center.
-
E.
交野市
交野市は、大阪府北河内地域に位置する自然豊かな住宅都市で、星田妙見宮や天野川などで知られる市です。
- 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: 大田区 Triple: [世田谷区, hasNeighbour, 大田区]
Generated description
大田区は、東京都南部に位置し、羽田空港を擁することで知られる特別区の一つです。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 大田区 Target entity description: 大田区は、東京都南部に位置し、羽田空港を擁することで知られる特別区の一つです。
-
A.
永田町
永田町 is a district in Tokyo’s Chiyoda Ward that serves as Japan’s political center, housing key government institutions and major party headquarters.
-
B.
本郷区
本郷区 was a former ward of Tokyo, historically known as an educational and cultural center that included areas around the University of Tokyo before being incorporated into modern Bunkyō Ward.
-
C.
千代田区
千代田区 is a central special ward of Tokyo that serves as Japan’s political and administrative core, encompassing the Imperial Palace, the National Diet, and numerous government and corporate headquarters.
-
D.
白石区
白石区 is one of the administrative wards of Sapporo in Hokkaido, Japan, known as a largely residential and commercial area with convenient access to the city center.
-
E.
交野市
交野市は、大阪府北河内地域に位置する自然豊かな住宅都市で、星田妙見宮や天野川などで知られる市です。
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cc6d3c81908fbb22601c46f3f7 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec2dac88190bf31bb00f93feb30 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f66308087c81908ab5b5795f255e37 |
completed | May 2, 2026, 8:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f663fe2fac8190bb70c8f1b919d657 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 9, 2026, 5:07 p.m.