Triple
T23469496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ningyōchō |
E569188
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
人形町
人形町は、東京都中央区に位置し、老舗の飲食店や人形芝居の歴史を色濃く残す下町情緒あふれる街です。
|
E1589903
|
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: 人形町 | Statement: [Ningyōchō, hasJapaneseName, 人形町]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 人形町 Context triple: [Ningyōchō, hasJapaneseName, 人形町]
-
A.
神保町
神保町 is a Tokyo neighborhood famed as Japan’s largest used-book district, lined with countless bookstores, publishers, and cozy cafés.
-
B.
有楽町
有楽町は、東京都千代田区に位置し、オフィス街や商業施設、劇場などが集まる繁華な都心エリアです。
-
C.
隼町
隼町は、東京都千代田区に位置し、国立劇場や最高裁判所などの中枢機関が集まる官庁街として知られる地域です。
-
D.
大手町
大手町 is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
-
E.
番町地区
番町地区 is a historic and upscale residential and educational area in central Tokyo’s Chiyoda ward, known for its embassies, schools, and proximity to the Imperial Palace.
- 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: 人形町 Triple: [Ningyōchō, hasJapaneseName, 人形町]
Generated description
人形町は、東京都中央区に位置し、老舗の飲食店や人形芝居の歴史を色濃く残す下町情緒あふれる街です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 人形町 Target entity description: 人形町は、東京都中央区に位置し、老舗の飲食店や人形芝居の歴史を色濃く残す下町情緒あふれる街です。
-
A.
神保町
神保町 is a Tokyo neighborhood famed as Japan’s largest used-book district, lined with countless bookstores, publishers, and cozy cafés.
-
B.
有楽町
有楽町は、東京都千代田区に位置し、オフィス街や商業施設、劇場などが集まる繁華な都心エリアです。
-
C.
隼町
隼町は、東京都千代田区に位置し、国立劇場や最高裁判所などの中枢機関が集まる官庁街として知られる地域です。
-
D.
大手町
大手町 is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
-
E.
番町地区
番町地区 is a historic and upscale residential and educational area in central Tokyo’s Chiyoda ward, known for its embassies, schools, and proximity to the Imperial Palace.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6feb5688190ad4ce42fc9590adb |
completed | April 29, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8256ede08190a95e0074245e9eff |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6efb0d88190bf15b18cc3f12482 |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca819f6dc8190852bb3c06768ac5a |
completed | May 19, 2026, 6:12 p.m. |
Created at: April 17, 2026, 5:54 p.m.