Triple
T7016008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolkata Metro |
E162700
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Noapara depot
Noapara depot is a major maintenance and stabling facility for the Kolkata Metro, serving as a key operational hub for its trains.
|
E635149
|
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: Noapara depot | Statement: [Kolkata Metro, hasDepot, Noapara depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noapara depot Context triple: [Kolkata Metro, hasDepot, Noapara depot]
-
A.
Gyaspur Depot
Gyaspur Depot is a major maintenance and stabling facility serving the Ahmedabad Metro system in Ahmedabad, India.
-
B.
Dibrugarh railway station
Dibrugarh railway station is a major rail hub in Assam, India, serving the city of Dibrugarh and connecting it to key destinations across the country.
-
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.
Dinajpur Railway Station
Dinajpur Railway Station is a key rail transit hub serving the city of Dinajpur and its surrounding region.
-
E.
Chandannagar railway station
Chandannagar railway station is a suburban rail station in West Bengal, India, serving the town of Chandannagar on the Howrah–Bardhaman main line of the Kolkata Suburban Railway network.
- 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: Noapara depot Triple: [Kolkata Metro, hasDepot, Noapara depot]
Generated description
Noapara depot is a major maintenance and stabling facility for the Kolkata Metro, serving as a key operational hub for its trains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noapara depot Target entity description: Noapara depot is a major maintenance and stabling facility for the Kolkata Metro, serving as a key operational hub for its trains.
-
A.
Gyaspur Depot
Gyaspur Depot is a major maintenance and stabling facility serving the Ahmedabad Metro system in Ahmedabad, India.
-
B.
Dibrugarh railway station
Dibrugarh railway station is a major rail hub in Assam, India, serving the city of Dibrugarh and connecting it to key destinations across the country.
-
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.
Dinajpur Railway Station
Dinajpur Railway Station is a key rail transit hub serving the city of Dinajpur and its surrounding region.
-
E.
Chandannagar railway station
Chandannagar railway station is a suburban rail station in West Bengal, India, serving the town of Chandannagar on the Howrah–Bardhaman main line of the Kolkata Suburban Railway network.
- 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.