Triple
T11444039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 1 (Mumbai Monorail) |
E271216
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object | Wadala Depot |
E271218
|
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: Wadala Depot | Statement: [Line 1 (Mumbai Monorail), hasDepot, Wadala Depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wadala Depot Context triple: [Line 1 (Mumbai Monorail), hasDepot, Wadala Depot]
-
A.
Wadala Depot
chosen
Wadala Depot is a key station and maintenance hub on the Mumbai Monorail network, serving the Wadala area of Mumbai, India.
-
B.
Gyaspur Depot
Gyaspur Depot is a major maintenance and stabling facility serving the Ahmedabad Metro system in Ahmedabad, India.
-
C.
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.
-
D.
Oji Depot
Oji Depot is a Tokyo Metro rail yard and maintenance facility serving trains on the Namboku Line in Tokyo, Japan.
-
E.
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.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8088a66f48190b2b4a56cd62097cf |
completed | April 9, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3afe7fc8190acc8c803ff5efe5a |
completed | April 20, 2026, 7:20 a.m. |
Created at: April 8, 2026, 9:35 p.m.