Triple
T10945573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metro Namboku Line |
E258586
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object |
Oji Depot
Oji Depot is a Tokyo Metro rail yard and maintenance facility serving trains on the Namboku Line in Tokyo, Japan.
|
E895610
|
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: Oji Depot | Statement: [Tokyo Metro Namboku Line, depot, Oji Depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oji Depot Context triple: [Tokyo Metro Namboku Line, depot, Oji Depot]
-
A.
Kikuna Depot
Kikuna Depot is a railway maintenance and storage facility in Yokohama that services Tokyo Metro rolling stock such as the 8000 series trains.
-
B.
Kitami Depot
Kitami Depot is a railway maintenance and storage facility serving trains on the Odakyu Odawara Line in Japan.
-
C.
Wadala Depot
Wadala Depot is a key station and maintenance hub on the Mumbai Monorail network, serving the Wadala area of Mumbai, India.
-
D.
Riverside Depot
Riverside Depot is a retail shop located on Discovery Island in Disney's Animal Kingdom, offering themed merchandise and souvenirs to park guests.
-
E.
Sharston depot
Sharston depot is a bus operating and maintenance facility in the Sharston area of Manchester used by Stagecoach Manchester for its local services.
- 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: Oji Depot Triple: [Tokyo Metro Namboku Line, depot, Oji Depot]
Generated description
Oji Depot is a Tokyo Metro rail yard and maintenance facility serving trains on the Namboku Line in Tokyo, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oji Depot Target entity description: Oji Depot is a Tokyo Metro rail yard and maintenance facility serving trains on the Namboku Line in Tokyo, Japan.
-
A.
Kikuna Depot
Kikuna Depot is a railway maintenance and storage facility in Yokohama that services Tokyo Metro rolling stock such as the 8000 series trains.
-
B.
Kitami Depot
Kitami Depot is a railway maintenance and storage facility serving trains on the Odakyu Odawara Line in Japan.
-
C.
Wadala Depot
Wadala Depot is a key station and maintenance hub on the Mumbai Monorail network, serving the Wadala area of Mumbai, India.
-
D.
Riverside Depot
Riverside Depot is a retail shop located on Discovery Island in Disney's Animal Kingdom, offering themed merchandise and souvenirs to park guests.
-
E.
Sharston depot
Sharston depot is a bus operating and maintenance facility in the Sharston area of Manchester used by Stagecoach Manchester for its local services.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770e9a89081908979efd1d9e6af66 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c3c885081908edcece772b2e759 |
completed | April 17, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69e24542b4f081909c97621f04da8ecc |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e248f7f96481909fa6e6cd07891566 |
completed | April 17, 2026, 2:51 p.m. |
Created at: April 8, 2026, 9:23 p.m.