Triple

T19628382
Position Surface form Disambiguated ID Type / Status
Subject Ruwanwella E471197 entity
Predicate divisionalSecretariatSubdivisionType P55508 FINISHED
Object divisional secretariat division 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: divisional secretariat division | Statement: [Ruwanwella, divisionalSecretariatSubdivisionType, divisional secretariat division]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: divisionalSecretariatSubdivisionType
Context triple: [Ruwanwella, divisionalSecretariatSubdivisionType, divisional secretariat division]
  • A. typeOfDistrict
    Indicates the specific category or classification to which a given district belongs.
  • B. subdistrictOf
    Indicates that one administrative subdistrict is geographically and politically contained within, and is a part of, a larger district.
  • C. regionDivision chosen
    Indicates a hierarchical or organizational subdivision relationship where one region is partitioned into smaller constituent regions.
  • D. citySubdivision
    Indicates that one administrative or geographic unit is a smaller subdivision contained within a larger city.
  • E. realmSubdivision
    Indicates a hierarchical relationship where one realm is a constituent subdivision or part of a larger realm.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641007e5881908da78e50aa36f340 completed April 20, 2026, 3:06 p.m.
PD Predicate disambiguation batch_69e514e5cb108190ae260e466c447314 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:44 p.m.