Triple
T3546995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakaisuji Line |
E75019
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object | Nakamozu Depot |
E336904
|
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: Nakamozu Depot | Statement: [Sakaisuji Line, depot, Nakamozu Depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakamozu Depot Context triple: [Sakaisuji Line, depot, Nakamozu Depot]
-
A.
Nakamozu Depot
chosen
Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
-
B.
Kasukabe Depot
Kasukabe Depot is a railway maintenance and storage facility in Kasukabe, Saitama Prefecture, serving Tokyo Metro’s subway rolling stock.
-
C.
Suminoe Depot
Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
-
D.
Saginuma Depot
Saginuma Depot is a maintenance and storage facility for Tokyo Metro trains serving the Hanzomon Line in the Tokyo area.
-
E.
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.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfcf64488190af8452308734028c |
completed | March 8, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb8ec8948190a0ae799ad20f42b3 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 3:20 p.m.