Triple
T14302076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toei Shinjuku Line |
E354590
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object | Motoyawata Depot |
E1092589
|
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: Motoyawata Depot | Statement: [Toei Shinjuku Line, depot, Motoyawata Depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Motoyawata Depot Context triple: [Toei Shinjuku Line, depot, Motoyawata Depot]
-
A.
Motosumiyoshi Depot
Motosumiyoshi Depot is a railway maintenance and storage facility serving trains on Tokyu Corporation’s Meguro Line in Japan.
-
B.
Nakamozu Depot
Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
-
C.
Imazato Depot
Imazato Depot is a maintenance and storage facility for Osaka Metro trains serving the Imazatosuji Line in Osaka, Japan.
-
D.
Oshima Depot
chosen
Oshima Depot is a maintenance and storage facility for trains operating on Tokyo’s Toei Shinjuku Line.
-
E.
Nakano Depot
Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717fc2348190bb6ba3109bd2871f |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c34d038819097b441c943ea5063 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:12 a.m.