Triple

T12217905
Position Surface form Disambiguated ID Type / Status
Subject Kannauj E291133 entity
Predicate districtHeadquartersOf P15001 FINISHED
Object Kannauj district E291133 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: Kannauj district | Statement: [Kannauj, districtHeadquartersOf, Kannauj district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kannauj district
Context triple: [Kannauj, districtHeadquartersOf, Kannauj district]
  • A. 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.
  • B. Mathura district
    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.
  • C. Jalaun district
    Jalaun district is an administrative district in the state of Uttar Pradesh, India, located in the Bundelkhand region and known for its predominantly agrarian landscape.
  • D. Kaushambi district
    Kaushambi district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance as an ancient Buddhist and trade center.
  • E. Kannauj chosen
    Kannauj is a historic town and parliamentary constituency in Uttar Pradesh, India, renowned for its ancient heritage and traditional perfume (attar) industry.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c9419d48190b0037fe8edc681c4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5882408190b4853f3a11c249c2 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.