Triple

T19363518
Position Surface form Disambiguated ID Type / Status
Subject Nagar E484340 entity
Predicate partOf P40 FINISHED
Object Mathura district 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: Mathura district | Statement: [Nagar, partOf, Mathura district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mathura district
Context triple: [Nagar, partOf, Mathura district]
  • A. Mathura district chosen
    Mathura district is an administrative region in the Indian state of Uttar Pradesh, renowned as a major center of Hindu pilgrimage and culture associated with the life of Lord Krishna.
  • B. Badaun district
    Badaun district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and location in the Rohilkhand region.
  • C. Harda district
    Harda district is an administrative district in the central Indian state of Madhya Pradesh, known for its agricultural economy and location in the Narmada River valley.
  • D. Solapur district
    Solapur district is an administrative district in the state of Maharashtra, India, known for its textile industry, historical temples, and semi-arid Deccan Plateau landscape.
  • E. Baghpat district
    Baghpat district is an administrative region in the state of Uttar Pradesh, India, known for its agricultural economy and proximity to the National Capital Region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619a897008190a2c62a50ca60de2d completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:34 p.m.