Triple

T19316437
Position Surface form Disambiguated ID Type / Status
Subject Brihaspati E483109 entity
Predicate fatherOf P120 FINISHED
Object Kalyani 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: Kalyani | Statement: [Brihaspati, fatherOf, Kalyani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalyani
Context triple: [Brihaspati, fatherOf, Kalyani]
  • A. Kalyani
    Kalyani is a planned town in the Nadia district of West Bengal, India, known for its educational institutions, industries, and organized urban layout.
  • B. 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.
  • 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. Narendranagar
    Narendranagar is a small hill town in Uttarakhand, India, known for its scenic Himalayan views and status as a former capital of the Tehri Garhwal princely state.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d843640819089ff3738aae29eb1 completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.