Triple

T21073114
Position Surface form Disambiguated ID Type / Status
Subject Hapur district E519158 entity
Predicate borderedBy P224 FINISHED
Object Bulandshahr 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: Bulandshahr district | Statement: [Hapur district, borderedBy, Bulandshahr district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulandshahr district
Context triple: [Hapur district, borderedBy, Bulandshahr district]
  • A. Bulandshahr district chosen
    Bulandshahr district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and agricultural economy.
  • B. Moradabad district
    Moradabad district is an administrative region in the Indian state of Uttar Pradesh, centered around the city of Moradabad and known for its brassware industry.
  • C. Bareilly district
    Bareilly district is an administrative district in the Indian state of Uttar Pradesh, with the city of Bareilly as its headquarters and primary urban center.
  • D. Shahjahanpur district
    Shahjahanpur district is an administrative district in the Indian state of Uttar Pradesh, known for its agricultural economy and historical significance in the Rohilkhand region.
  • E. 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.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d491a08190a9f5f28c0b72d38c completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:47 p.m.