Triple

T30783385
Position Surface form Disambiguated ID Type / Status
Subject NBA E783885 entity
Predicate administrativeSeatForCodeArea P191200 FINISHED
Object Sępopol 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: Sępopol | Statement: [NBA, administrativeSeatForCodeArea, Sępopol]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administrativeSeatForCodeArea
Context triple: [NBA, administrativeSeatForCodeArea, Sępopol]
  • A. administrativeCouncilArea
    Indicates that one entity is an administrative council area within which the other entity is located or governed.
  • B. adminDistrictSeat
    Indicates that one entity serves as the administrative center or capital seat of an administrative district to which the other entity belongs.
  • C. seatOfLocalGovernment chosen
    Indicates that one entity serves as the administrative center or headquarters where the local government of another entity is based and operates.
  • D. administrativeDistrictOf
    Indicates that one entity serves as the administrative district or jurisdictional area governing or encompassing another entity.
  • E. denotesAdministrativeArea
    Indicates that one entity designates or specifies another entity as its relevant administrative area or jurisdiction.
  • F. None of above.

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_69f224b213c8819083886073f90b647e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fce7671f108190bf3ebf54339068b5 completed May 7, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69fce5b5a84c81908ac1b5b9f08d48d0 completed May 7, 2026, 7:19 p.m.
Created at: April 29, 2026, 8:41 p.m.