Triple

T22313473
Position Surface form Disambiguated ID Type / Status
Subject Kishtwari E551582 entity
Predicate closelyRelatedTo P37 FINISHED
Object Bhaderwahi NE NERFINISHED

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: Bhaderwahi | Statement: [Kishtwari, closelyRelatedTo, Bhaderwahi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhaderwahi
Context triple: [Kishtwari, closelyRelatedTo, Bhaderwahi]
  • A. Bhaderwahi chosen
    Bhaderwahi is an Indo-Aryan language spoken primarily in the Bhaderwah region of Jammu and Kashmir, India.
  • B. Kalyanpur
    Kalyanpur is a town located in the Devbhoomi Dwarka district of the western Indian state of Gujarat.
  • C. Tilak Nagar
    Tilak Nagar is a prominent residential and commercial neighborhood in West Delhi, India, known for its bustling markets and dense urban character.
  • D. Seelampur
    Seelampur is a densely populated residential and commercial locality in East Delhi, India, known for its bustling markets and proximity to Shahdara.
  • E. Vartak Nagar
    Vartak Nagar is a prominent residential and commercial locality in the city of Thane, Maharashtra, known for its dense housing complexes and proximity to major industrial and business areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15750f76c81909d6f788928f503f1 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.