Triple

T7029285
Position Surface form Disambiguated ID Type / Status
Subject North 24 Parganas district E163230 entity
Predicate containsUrbanArea P11388 FINISHED
Object Rajarhat New Town E162697 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: Rajarhat New Town | Statement: [North 24 Parganas district, containsUrbanArea, Rajarhat New Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajarhat New Town
Context triple: [North 24 Parganas district, containsUrbanArea, Rajarhat New Town]
  • A. Radhanagar
    Radhanagar is a village in West Bengal, India, best known as the birthplace of the social reformer Raja Ram Mohan Roy.
  • B. Kalyani Nagar
    Kalyani Nagar is an upscale residential and commercial neighborhood in Pune, India, known for its IT parks, shopping malls, and vibrant dining and nightlife options.
  • C. Sundar Nagar
    Sundar Nagar is a town in the Mandi district of Himachal Pradesh, India, known for its scenic surroundings and educational institutions.
  • D. New Town, Kolkata chosen
    New Town, Kolkata is a rapidly developing planned satellite city on the eastern fringes of Kolkata, known for its modern infrastructure, IT and business parks, and emerging residential and commercial hubs.
  • E. Jamshed Town
    Jamshed Town is a residential and commercial administrative subdivision of Karachi, Pakistan, known for its dense urban neighborhoods and historic quarters.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e200ecdc819098ca07473dfb272a completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775919734819083beb10b4c2b146e completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:35 p.m.