Triple

T6304976
Position Surface form Disambiguated ID Type / Status
Subject Bareilly division E141351 entity
Predicate hasCity P316 FINISHED
Object Pilibhit E213187 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: Pilibhit | Statement: [Bareilly division, hasCity, Pilibhit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pilibhit
Context triple: [Bareilly division, hasCity, Pilibhit]
  • A. Pilibhit chosen
    Pilibhit is a city in the Rohilkhand region of Uttar Pradesh, India, known for its agricultural economy, historical significance, and proximity to the Pilibhit Tiger Reserve.
  • B. Bijbehara
    Bijbehara is a historic town in the Kashmir Valley of Jammu and Kashmir, India, known for its apple orchards and scenic location along the Jhelum River.
  • C. Tikamgarh
    Tikamgarh is a town and administrative center in central India, known for its historical forts and temples in the state of Madhya Pradesh.
  • D. Bhind
    Bhind is a city in the northern part of the Indian state of Madhya Pradesh, known as an administrative and commercial center of the region.
  • E. Shivpuri
    Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645f26a881909d5746151c0843cc completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d2cd75c81908961633a7ccf5dc9 completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:28 p.m.