Triple

T35195349
Position Surface form Disambiguated ID Type / Status
Subject Regent of Jeneponto E1016240 entity
Predicate belongsToGovernmentSystem P62479 FINISHED
Object unitary state of Indonesia 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: unitary state of Indonesia | Statement: [Regent of Jeneponto, belongsToGovernmentSystem, unitary state of Indonesia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToGovernmentSystem
Context triple: [Regent of Jeneponto, belongsToGovernmentSystem, unitary state of Indonesia]
  • A. associatedWithGovernmentBranch
    Indicates that an entity has a formal connection, role, or affiliation with a specific branch of government.
  • B. basedInGovernmentType chosen
    Indicates that an entity operates within or is associated with a government of a specified governmental system or type.
  • C. associatedWithGovernmentInstitution
    Indicates a relationship where an entity is connected, linked, or formally related to a government institution in some capacity.
  • D. governsInPoliticalSystem
    Indicates that one entity exercises authoritative control or rule over another entity within a specified political system or structure.
  • E. usedGovernmentSystem
    Indicates that an entity employed or operated under a particular form or system of government.
  • 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_69f76dde814c8190a71f60d514a424a4 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff8aff48988190a48a440de8238ef9 completed May 9, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69ff8a780404819082f48ceb21e7fe11 completed May 9, 2026, 7:26 p.m.
Created at: May 3, 2026, 4:02 p.m.