Triple

T6969603
Position Surface form Disambiguated ID Type / Status
Subject Nandi Awards E161568 entity
Predicate symbol P129 FINISHED
Object Nandi bull E111278 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: Nandi bull | Statement: [Nandi Awards, symbol, Nandi bull]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nandi bull
Context triple: [Nandi Awards, symbol, Nandi bull]
  • A. Cape buffalo
    The Cape buffalo is a large, powerful African bovine known for its massive curved horns, unpredictable temperament, and status as one of the continent’s most dangerous and iconic wild animals.
  • B. Dawakin Kudu
    Dawakin Kudu is a prominent town and local government area in northern Nigeria known for its role in agriculture and education within Kano State.
  • C. Gaur
    Gaur is a ruined medieval city on the India–Bangladesh border, historically a major capital of Bengal known for its Islamic architecture and archaeological remains.
  • D. Nandi chosen
    Nandi is the sacred bull and devoted gatekeeper of the Hindu god Shiva, revered as a symbol of strength, righteousness, and dharma.
  • E. Nandi
    Nandi is a Southern Nilotic language spoken primarily by the Nandi people of western Kenya.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1649288190a52c7dab57b3c7dc completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a04a77c8190959056a68a349f6e completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:30 p.m.