Triple

T26626598
Position Surface form Disambiguated ID Type / Status
Subject Atoni people E668365 entity
Predicate mainRegency P153545 FINISHED
Object Timor Tengah Selatan Regency 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: Timor Tengah Selatan Regency | Statement: [Atoni people, mainRegency, Timor Tengah Selatan Regency]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainRegency
Context triple: [Atoni people, mainRegency, Timor Tengah Selatan Regency]
  • A. hasRegency
    Indicates that one entity exercises regency authority or governing power on behalf of another, typically during the latter’s minority, incapacity, or absence.
  • B. isLocatedInRegency chosen
    Indicates that one entity (typically a place or facility) is situated within the administrative area of a specific regency.
  • C. governingRegency
    Indicates that one entity is serving as the regent, exercising governing authority on behalf of another (typically a ruler or state).
  • D. regencyCapital
    Indicates that a location serves as the administrative capital or seat of government for a regency-level jurisdiction.
  • E. hasRegencyType
    Indicates that an entity is associated with a specific type or form of regency (i.e., a particular kind of regent rule or regent arrangement).
  • 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_69ee9cff507c819092b95bf7219a702e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f62d53ad58819080c5227c7a729d15 completed May 2, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69f62c15952881908a5ea0c25904afec completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 2:23 a.m.