Triple

T14787834
Position Surface form Disambiguated ID Type / Status
Subject Jaunpur district E347573 entity
Predicate borderedBy P224 FINISHED
Object Azamgarh district E331719 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: Azamgarh district | Statement: [Jaunpur district, borderedBy, Azamgarh district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azamgarh district
Context triple: [Jaunpur district, borderedBy, Azamgarh district]
  • A. Azamgarh district chosen
    Azamgarh district is an administrative region in the Indian state of Uttar Pradesh, known for its historical significance, cultural heritage, and growing connectivity within eastern Uttar Pradesh.
  • B. Amroha district
    Amroha district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and cultural heritage.
  • C. Jaunpur district
    Jaunpur district is an administrative region in the Indian state of Uttar Pradesh, known for its historical significance and fertile plains.
  • D. 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.
  • E. Bhadohi district
    Bhadohi district is a district in the Indian state of Uttar Pradesh, widely known as a major center for carpet weaving and textile production.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388fc0e08190a758a1e0a4140909 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:31 a.m.