Triple

T8573151
Position Surface form Disambiguated ID Type / Status
Subject Bikaner district E202976 entity
Predicate knownFor P22 FINISHED
Object Bikaneri bhujia E190533 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: Bikaneri bhujia | Statement: [Bikaner district, knownFor, Bikaneri bhujia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bikaneri bhujia
Context triple: [Bikaner district, knownFor, Bikaneri bhujia]
  • A. Bikaneri bhujia chosen
    Bikaneri bhujia is a famous crispy, spiced gram flour snack from the Indian city of Bikaner, renowned across India and abroad for its distinctive flavor and texture.
  • B. Rao Bika
    Rao Bika was a 15th-century Rajput prince of the Rathore clan who established and ruled the kingdom that became the city of Bikaner in present-day Rajasthan, India.
  • C. Bhati
    Bhati is a prominent Rajput clan historically associated with the rulers of Jaisalmer and parts of northwestern India.
  • D. Bajju
    Bajju are an ethnic subgroup in southern Kaduna State, Nigeria, closely related culturally and linguistically to the Atyap people.
  • E. Banshiwala
    Banshiwala is a Bengali novel by acclaimed writer Shirshendu Mukhopadhyay, known for its evocative storytelling and exploration of human relationships.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea458c1081908e79bee2cbf97207 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce898cf8648190b52758b6ecf2959b completed April 2, 2026, 3:21 p.m.
Created at: March 30, 2026, 6:21 p.m.