Triple
T7016009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolkata Metro |
E162700
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
New Garia depot
New Garia depot is a major Kolkata Metro facility used for stabling, maintaining, and operating metro trains serving the southern part of the city.
|
E635150
|
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: New Garia depot | Statement: [Kolkata Metro, hasDepot, New Garia depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Garia depot Context triple: [Kolkata Metro, hasDepot, New Garia depot]
-
A.
Gyaspur Depot
Gyaspur Depot is a major maintenance and stabling facility serving the Ahmedabad Metro system in Ahmedabad, India.
-
B.
Wimco Nagar depot
Wimco Nagar depot is a maintenance and stabling facility serving the northern stretch of the Chennai Metro network in Chennai, India.
-
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.
Pontinha depot
Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
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: New Garia depot Triple: [Kolkata Metro, hasDepot, New Garia depot]
Generated description
New Garia depot is a major Kolkata Metro facility used for stabling, maintaining, and operating metro trains serving the southern part of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: New Garia depot Target entity description: New Garia depot is a major Kolkata Metro facility used for stabling, maintaining, and operating metro trains serving the southern part of the city.
-
A.
Gyaspur Depot
Gyaspur Depot is a major maintenance and stabling facility serving the Ahmedabad Metro system in Ahmedabad, India.
-
B.
Wimco Nagar depot
Wimco Nagar depot is a maintenance and stabling facility serving the northern stretch of the Chennai Metro network in Chennai, India.
-
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.
Pontinha depot
Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1d43e948190843f1cef3ce2004e |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a5655d48190a2df556f63add35d |
completed | March 28, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69c76b9702d4819099f873b37fad309b |
completed | March 28, 2026, 5:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76c10303c8190a08f1728da6ebcd2 |
completed | March 28, 2026, 5:50 a.m. |
Created at: March 27, 2026, 2:34 p.m.