Triple

T1656813
Position Surface form Disambiguated ID Type / Status
Subject Bikaner E35816 entity
Predicate majorFestival P1819 FINISHED
Object Gangaur E63572 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: Gangaur | Statement: [Bikaner, majorFestival, Gangaur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangaur
Context triple: [Bikaner, majorFestival, Gangaur]
  • A. Gangaur chosen
    Gangaur is a prominent Rajasthani festival dedicated to the worship of Goddess Gauri, celebrating marital fidelity, prosperity, and the well-being of women.
  • B. Sheopur
    Sheopur is a town and district headquarters in the northern part of the Indian state of Madhya Pradesh, known for its proximity to the Kuno National Park and its largely rural, agrarian surroundings.
  • C. Rajgarh
    Rajgarh is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and historical temples.
  • D. Mathura
    Mathura is an ancient city in northern India revered in Hinduism as the birthplace of Lord Krishna and a major pilgrimage center.
  • E. Harda
    Harda is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and railway connectivity.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a8d85f08190a50ade3f443b7703 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad798680088190a24dd968aab1baf0 completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:29 p.m.