Triple

T16697392
Position Surface form Disambiguated ID Type / Status
Subject National Dairy Research Institute E405749 entity
Predicate hasRegionalStation P105426 FINISHED
Object Kalyani E184770 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: Kalyani | Statement: [National Dairy Research Institute, hasRegionalStation, Kalyani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalyani
Context triple: [National Dairy Research Institute, hasRegionalStation, Kalyani]
  • A. Kalyani
    Kalyani is a historic city in present-day Karnataka, India, renowned as the royal seat of the Western Chalukya dynasty and a major medieval center of politics and culture.
  • B. Kalyani chosen
    Kalyani is a planned town in the Nadia district of West Bengal, India, known for its educational institutions, industries, and organized urban layout.
  • C. Bhagyanagar
    Bhagyanagar is an old historical name for the Indian city now known as Hyderabad.
  • D. Janakpurdham
    Janakpurdham is a historic city in southeastern Nepal renowned as a major Hindu pilgrimage site associated with the birthplace of Sita and the grand Janaki Temple.
  • E. Chandranigahapur
    Chandranigahapur is a town in southern Nepal known as a local commercial and transportation hub within the Terai region.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3832e93c48190a594c498e9cc901a completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c29693dc819096993d8ba0fb3d71 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:19 a.m.