Triple

T16070722
Position Surface form Disambiguated ID Type / Status
Subject Hapur E389852 entity
Predicate district P2709 FINISHED
Object Hapur district E519158 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: Hapur district | Statement: [Hapur, district, Hapur district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hapur district
Context triple: [Hapur, district, Hapur district]
  • A. Hapur district chosen
    Hapur district is an administrative district in the Indian state of Uttar Pradesh, located in the National Capital Region and known for its proximity to Delhi and growing industrial and transport connectivity.
  • B. Kharwar District
    Kharwar District is an administrative district in eastern Afghanistan, located within Logar Province.
  • C. Mandsaur district
    Mandsaur district is an administrative region in the Indian state of Madhya Pradesh known for its agricultural economy, historical sites, and major irrigation infrastructure.
  • D. Chaparhar District
    Chaparhar District is an administrative district in eastern Afghanistan known for its predominantly rural communities and location within Nangarhar Province.
  • E. Basti District
    Basti District is an administrative district in the Indian state of Uttar Pradesh, known for its agricultural economy and location in the eastern part of the state.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183be909c8190ac6c37ab047151ae completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe4827cd48190aa470c6537e72508 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.