Triple

T35892267
Position Surface form Disambiguated ID Type / Status
Subject Daulatpur E1038115 entity
Predicate locatedInFormerNameOfDistrict P35480 FINISHED
Object Nawabshah District E353263 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: Nawabshah District | Statement: [Daulatpur, locatedInFormerNameOfDistrict, Nawabshah District]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInFormerNameOfDistrict
Context triple: [Daulatpur, locatedInFormerNameOfDistrict, Nawabshah District]
  • A. locatedInFormerNamePlace chosen
    Indicates that an entity is located in a place that is referred to by its former or historical name rather than its current name.
  • B. formerNameOfDistrict
    Indicates that one district previously had a different official name, which is the value linked by this predicate.
  • C. locatedWithinFormer
    Indicates that one entity is or was geographically contained within the boundaries of another entity that no longer exists in its former administrative or territorial form.
  • D. locatedInFormerAdministrativeTerritory
    Indicates that an entity is situated within the boundaries of an administrative territory that no longer exists or has been reorganized.
  • E. locatedInFormerFederalDistrict
    Indicates that an entity is or was situated within the geographic boundaries of a former federal district.
  • F. None of above.

Provenance (4 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_69f76e2190f88190beb2eed798a4ef01 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037ce70f54819082946dad8d380825 completed May 12, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39b415a998819092a9ca9dfc366bf5 completed June 22, 2026, 10:15 p.m.
PD Predicate disambiguation batch_6a037a069e6c8190857b611fffb7b867 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:06 p.m.