Triple

T12386763
Position Surface form Disambiguated ID Type / Status
Subject Fatehpur Shekhawati E295885 entity
Predicate partOf P40 FINISHED
Object Sikar district E295884 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: Sikar district | Statement: [Fatehpur Shekhawati, partOf, Sikar district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sikar district
Context triple: [Fatehpur Shekhawati, partOf, Sikar district]
  • A. Sikar district chosen
    Sikar district is an administrative district in the Indian state of Rajasthan, known for its historical heritage, educational institutions, and location within the Shekhawati region.
  • B. Sambhal district
    Sambhal district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and inclusion in the Rohilkhand region.
  • C. Ganganagar district
    Ganganagar district is an agriculturally rich region in northern Rajasthan, India, known for its extensive irrigation and fertile lands in an otherwise arid area.
  • D. Sirohi district
    Sirohi district is a region in the southwestern part of Rajasthan, India, known for its rugged Aravalli hills and the famous hill station of Mount Abu.
  • E. Chaparhar District
    Chaparhar District is an administrative district in eastern Afghanistan known for its predominantly rural communities and location within Nangarhar Province.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f726570a2481909f417be6e38d283a completed May 3, 2026, 10:41 a.m.
Created at: April 8, 2026, 9:54 p.m.