Triple

T22903002
Position Surface form Disambiguated ID Type / Status
Subject Varanasi division E568373 entity
Predicate containsDistrict P22582 FINISHED
Object Jaunpur 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: Jaunpur district | Statement: [Varanasi division, containsDistrict, Jaunpur district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaunpur district
Context triple: [Varanasi division, containsDistrict, Jaunpur district]
  • A. Jaunpur district chosen
    Jaunpur district is an administrative region in the Indian state of Uttar Pradesh, known for its historical significance and fertile plains.
  • B. 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.
  • C. Amroha district
    Amroha district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and cultural heritage.
  • D. Raebareli district
    Raebareli district is an administrative region in the Indian state of Uttar Pradesh known for its political significance and association with the Nehru–Gandhi family.
  • E. Barabanki district
    Barabanki district is an administrative district in the Indian state of Uttar Pradesh, located near the state capital Lucknow and known for its agricultural economy and historical sites.
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18017a0208190a7e6f1638fc17b01 completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.