Triple

T10084261
Position Surface form Disambiguated ID Type / Status
Subject Rampur district E215178 entity
Predicate borderedByDistrict P224 FINISHED
Object Moradabad district E437818 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: Moradabad district | Statement: [Rampur district, borderedByDistrict, Moradabad district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moradabad district
Context triple: [Rampur district, borderedByDistrict, Moradabad district]
  • A. Moradabad district chosen
    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.
  • B. Bulandshahr district
    Bulandshahr district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and agricultural economy.
  • C. Aligarh district
    Aligarh district is an administrative region in the Indian state of Uttar Pradesh, known for the city of Aligarh and its prominent educational and lock industries.
  • 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. 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.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd044c1ec8190b5b48cdb0584d00c completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b675f4b08190bd8285f210191b93 completed April 5, 2026, 7:22 p.m.
Created at: March 30, 2026, 9 p.m.