Triple
T9343425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metro Hibiya Line |
E224820
|
entity |
| Predicate | servesDistrict |
P82
|
FINISHED |
| Object | Chuo |
E641309
|
NE FINISHED |
How this triple was built (2 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: Chuo | Statement: [Tokyo Metro Hibiya Line, servesDistrict, Chuo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chuo Context triple: [Tokyo Metro Hibiya Line, servesDistrict, Chuo]
-
A.
Chuo
chosen
Chuo is a central ward of Tokyo known as a major commercial and financial district that includes areas like Nihonbashi, Ginza, and Tsukiji.
-
B.
Meijō
Meijō is the Japanese name for Nagoya Castle, a historic and iconic samurai-era fortress in Nagoya, Japan.
-
C.
Chō
Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
-
D.
Chōmin
Chōmin was the pen name of Nakae Chōmin, a prominent Japanese political theorist, journalist, and early advocate of liberal democracy during the Meiji era.
-
E.
Nanzan
Nanzan was one of the three rival polities on Okinawa Island during the Sanzan period, which was eventually unified into the Ryukyu Kingdom.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bb244e88190b269e0bc997f066a |
completed | April 1, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e410bc348190b0cae142bf850bce |
completed | April 4, 2026, 10:12 a.m. |
Created at: March 30, 2026, 7:40 p.m.