Triple

T18279223
Position Surface form Disambiguated ID Type / Status
Subject Moradabad division E437819 entity
Predicate hasPart P35 FINISHED
Object Amroha 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: Amroha district | Statement: [Moradabad division, hasPart, Amroha district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amroha district
Context triple: [Moradabad division, hasPart, Amroha district]
  • A. Amroha district chosen
    Amroha district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and cultural heritage.
  • 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. Azamgarh district
    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.
  • 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. Lakhimpur Kheri district
    Lakhimpur Kheri district is a large agricultural district in the Indian state of Uttar Pradesh, known for its sugarcane production, forested areas, and the Dudhwa National Park on the India–Nepal border.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50054d1dc8190b31d02f617256e9d completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.