Triple

T13071105
Position Surface form Disambiguated ID Type / Status
Subject Auraiya district E329457 entity
Predicate hasBorderWith P224 FINISHED
Object Jalaun district E337514 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: Jalaun district | Statement: [Auraiya district, hasBorderWith, Jalaun district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jalaun district
Context triple: [Auraiya district, hasBorderWith, 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 (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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ee6130819095d835e7ff6a8c5b completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716baf00881909a1a11d36cdb8d42 completed May 3, 2026, 9:34 a.m.
Created at: April 9, 2026, 9 p.m.