Triple
T11161504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metro Marunouchi Line |
E264046
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object |
Nakano Depot
Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
|
E992245
|
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: Nakano Depot | Statement: [Tokyo Metro Marunouchi Line, depot, Nakano Depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakano Depot Context triple: [Tokyo Metro Marunouchi Line, depot, Nakano Depot]
-
A.
Suminoe Depot
Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
-
B.
Nakamozu Depot
Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
-
C.
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.
-
D.
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.
-
E.
Saginuma Depot
Saginuma Depot is a maintenance and storage facility for Tokyo Metro trains serving the Hanzomon Line in the Tokyo area.
- 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: Nakano Depot Triple: [Tokyo Metro Marunouchi Line, depot, Nakano Depot]
Generated description
Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nakano Depot Target entity description: Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
-
A.
Suminoe Depot
Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
-
B.
Nakamozu Depot
Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
-
C.
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.
-
D.
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.
-
E.
Saginuma Depot
Saginuma Depot is a maintenance and storage facility for Tokyo Metro trains serving the Hanzomon Line in the Tokyo area.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8817a90819087820d5241c58851 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65e9136bc8190b35685376da7007e |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f660bc541c8190a4d1d7a4cc959ecf |
completed | May 2, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6617997188190bfce14c54619af7f |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 8, 2026, 9:29 p.m.