Triple

T14828907
Position Surface form Disambiguated ID Type / Status
Subject Sai River E348645 entity
Predicate flowsThrough P225 FINISHED
Object Jaunpur district E347573 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: Jaunpur district | Statement: [Sai River, flowsThrough, Jaunpur district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaunpur district
Context triple: [Sai River, flowsThrough, 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. 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.
  • E. Unnao district
    Unnao district is an administrative district in the Indian state of Uttar Pradesh, located between the major cities of Lucknow and Kanpur and known for its predominantly agrarian economy and historical towns.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0737d4c8190a49bf6b013da208c completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5a421e88190a7cd359209ae2818 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 1:51 a.m.