Triple
T16092109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marunouchi Line |
E390381
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object | Nakano Depot |
E992245
|
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: Nakano Depot | Statement: [Marunouchi Line, depot, Nakano Depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakano Depot Context triple: [Marunouchi Line, depot, Nakano Depot]
-
A.
Nakano Depot
chosen
Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
-
B.
Suminoe Depot
Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
-
C.
Nakamozu Depot
Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
-
D.
Morinomiya Depot
Morinomiya Depot is a major Osaka Metro facility used for the storage, inspection, and maintenance of trains serving the Sennichimae Line and other routes.
-
E.
Shinkiba Depot
Shinkiba Depot is a Tokyo Metro rail facility in the Shinkiba area used for the storage, inspection, and maintenance of Yurakuchō 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1858d1264819099434d7201614d05 |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ec4d9808190a3d1bfc8f3d73168 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 4:59 a.m.