Triple

T7306964
Position Surface form Disambiguated ID Type / Status
Subject Salt Lake campus E167996 entity
Predicate locatedIn P40 FINISHED
Object Bidhannagar E640822 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: Bidhannagar | Statement: [Salt Lake campus, locatedIn, Bidhannagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bidhannagar
Context triple: [Salt Lake campus, locatedIn, Bidhannagar]
  • A. Bidhannagar chosen
    Bidhannagar is a planned satellite township in the Kolkata metropolitan area of West Bengal, India, known for its residential neighborhoods and major IT and commercial hub in Sector V.
  • B. Baranagar
    Baranagar is a densely populated suburban city in the northern part of Kolkata, India, known for its industrial areas, educational institutions, and cultural heritage.
  • C. Krishnanagar
    Krishnanagar is a historic town in eastern India known for its cultural heritage, temples, and traditional clay artistry.
  • D. Barasat
    Barasat is a suburban city in the North 24 Parganas district of West Bengal, India, forming part of the Kolkata metropolitan area and serving as an important residential and commercial hub.
  • E. Shibpur
    Shibpur is a prominent residential and institutional neighborhood in Howrah, West Bengal, known for landmarks like the Indian Institute of Engineering Science and Technology and the Acharya Jagadish Chandra Bose Indian Botanic Garden.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebd95bd48190865716e7565f45e6 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c911608d408190b149c7c56931a18d completed March 29, 2026, 11:47 a.m.
Created at: March 27, 2026, 3:01 p.m.