Triple

T17628416
Position Surface form Disambiguated ID Type / Status
Subject Salempur Lok Sabha constituency E429908 entity
Predicate notableTown P14082 FINISHED
Object Deoria 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: Deoria | Statement: [Salempur Lok Sabha constituency, notableTown, Deoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deoria
Context triple: [Salempur Lok Sabha constituency, notableTown, Deoria]
  • A. Deoria chosen
    Deoria is a prominent city and administrative center in eastern Uttar Pradesh, India, known for its role as a regional commercial and transportation hub.
  • B. Moradabad
    Moradabad is a major city in northern India known for its brass handicraft industry and is located in the state of Uttar Pradesh.
  • C. Jalaun
    Jalaun is a town in the Indian state of Uttar Pradesh known for its administrative role within the surrounding Jalaun district.
  • D. Bulandshahr
    Bulandshahr is a city in the Indian state of Uttar Pradesh known for its historical significance and proximity to Delhi within the broader metropolitan region.
  • E. Unnao
    Unnao is a city in northern India known for its historical significance and its location between the major urban centers of Lucknow and Kanpur in Uttar Pradesh.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbe3a308190a818d04f1a9b15f7 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.