Triple

T18416759
Position Surface form Disambiguated ID Type / Status
Subject Meerut district E441912 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Modinagar 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: Modinagar | Statement: [Meerut district, hasUrbanCenter, Modinagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modinagar
Context triple: [Meerut district, hasUrbanCenter, Modinagar]
  • A. Modinagar chosen
    Modinagar is an industrial and educational town in the Indian state of Uttar Pradesh, historically known for its textile and sugar mills.
  • B. Vartak Nagar
    Vartak Nagar is a prominent residential and commercial locality in the city of Thane, Maharashtra, known for its dense housing complexes and proximity to major industrial and business areas.
  • C. Kadipur
    Kadipur is a town in the Sultanpur district of Uttar Pradesh, India, functioning as a local administrative and commercial center for the surrounding rural area.
  • D. Jogindernagar
    Jogindernagar is a town in the Indian state of Himachal Pradesh, known for its scenic Himalayan setting and historic hydroelectric power projects.
  • E. Ashoknagar
    Ashoknagar is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and regional trade.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a284b608190b77c360a72aceb7a completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.