Triple

T26225261
Position Surface form Disambiguated ID Type / Status
Subject Salt Lake (Bidhannagar) E655871 entity
Predicate connectedBy P37 FINISHED
Object Kolkata Metro Line 2
Kolkata Metro Line 2 is an east–west rapid transit corridor in Kolkata, India, linking the IT and residential hub of Salt Lake with central and western parts of the city and forming a key part of its expanding metro network.
E1851526 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: Kolkata Metro Line 2 | Statement: [Salt Lake (Bidhannagar), connectedBy, Kolkata Metro Line 2]
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: Kolkata Metro Line 2
Triple: [Salt Lake (Bidhannagar), connectedBy, Kolkata Metro Line 2]
Generated description
Kolkata Metro Line 2 is an east–west rapid transit corridor in Kolkata, India, linking the IT and residential hub of Salt Lake with central and western parts of the city and forming a key part of its expanding metro network.

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_69ee5b4a77e08190bfcb5f8ecdc55abd completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60d52e1e4819095c8efd797107332 completed May 2, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25377d741c8190875f79e488fa2bae completed June 7, 2026, 9:18 a.m.
NEDg Description generation batch_6a253bf87598819087116abf2274d649 completed June 7, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_6a25470a98f48190b7afa02e39675cc3 completed June 7, 2026, 10:25 a.m.
Created at: April 26, 2026, 8:57 p.m.