Triple

T25532930
Position Surface form Disambiguated ID Type / Status
Subject İslamköy E639970 entity
Predicate hasSmallerAdministrativeUnitType P144961 FINISHED
Object district LITERAL 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: district | Statement: [İslamköy, hasSmallerAdministrativeUnitType, district]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSmallerAdministrativeUnitType
Context triple: [İslamköy, hasSmallerAdministrativeUnitType, district]
  • A. hasLowerRankAdministrativeDivision chosen
    Indicates that one administrative division is hierarchically subordinate to another within an administrative ranking system.
  • B. hasHigherLevelSubdivisionType
    Indicates that one administrative or territorial subdivision type is hierarchically above another within a broader organizational structure.
  • C. usesAdministrativeDivisionType
    Indicates that one entity employs or applies a particular type of administrative division as part of its territorial or organizational structure.
  • D. hasHigherLevelSubdivision
    Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
  • E. hasAdministrativeArea
    Indicates that one entity serves as the governing or jurisdictional area responsible for administering another entity.
  • 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_69e75dbf3f9c8190b3f2a75d1b75d127 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f8647db4819098ab7374a151f6e6 completed May 2, 2026, 1:13 p.m.
PD Predicate disambiguation batch_69f480789be08190ab252a6de3797200 completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 3:15 p.m.