Triple

T22042634
Position Surface form Disambiguated ID Type / Status
Subject Jhansi division E544675 entity
Predicate containsDistrict P22582 FINISHED
Object Jalaun 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: Jalaun district | Statement: [Jhansi division, containsDistrict, Jalaun district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jalaun district
Context triple: [Jhansi division, containsDistrict, Jalaun district]
  • A. Jalaun district chosen
    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.
  • B. Jaunpur district
    Jaunpur district is an administrative region in the Indian state of Uttar Pradesh, known for its historical significance and fertile plains.
  • C. Bulandshahr district
    Bulandshahr district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and agricultural economy.
  • D. Farrukhabad district
    Farrukhabad district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and textile and perfume (attar) industries.
  • E. Amroha district
    Amroha district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and cultural heritage.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1282ac42c819099b2f664f79f5b83 completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:25 p.m.