Triple

T26676290
Position Surface form Disambiguated ID Type / Status
Subject Liquiçá municipality E672463 entity
Predicate formerOccupyingPower P115083 FINISHED
Object Indonesia 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: Indonesia | Statement: [Liquiçá municipality, formerOccupyingPower, Indonesia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerOccupyingPower
Context triple: [Liquiçá municipality, formerOccupyingPower, Indonesia]
  • A. occupyingPower
    Indicates that one entity holds military or political control over a territory that it does not legally own, typically as an occupying authority.
  • B. countryOccupied
    Indicates that one country has taken control of and is occupying the territory of another country, typically through military or coercive means.
  • C. occupyingForces
    Indicates that one group’s military forces are present in and exercising control over a territory that is not their own, typically without the full consent of the local sovereign authority.
  • D. countryBeforeOccupation
    Indicates that an entity was recognized as a country prior to a specified occupation or takeover event.
  • E. lastPoliticalControl chosen
    Indicates which political entity most recently held governing authority or control over another entity or territory.
  • 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_69eecda13424819092b17942c4edf722 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69fcc4b700748190ae00b21d09c96695 completed May 7, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69fcb0f9d3d881908a049475182fb039 completed May 7, 2026, 3:34 p.m.
Created at: April 27, 2026, 3:16 a.m.