Triple

T11852346
Position Surface form Disambiguated ID Type / Status
Subject Pikit E281938 entity
Predicate locatedInConflictArea P21190 FINISHED
Object Mindanao conflict-affected areas 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: Mindanao conflict-affected areas | Statement: [Pikit, locatedInConflictArea, Mindanao conflict-affected areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInConflictArea
Context triple: [Pikit, locatedInConflictArea, Mindanao conflict-affected areas]
  • A. locatedInDisputedTerritory
    Indicates that an entity is situated within a geographic area whose sovereignty or ownership is contested between two or more parties.
  • B. locationDuringConflict
    Indicates that an entity is situated in a specific place for some or all of the duration of a particular conflict or hostilities.
  • C. regionOfConflict
    Indicates that a specified region is the location where a particular conflict or dispute takes place.
  • D. conflictRegion chosen
    Indicates that the entities are located in or associated with a geographic area characterized by active or recent conflict, tension, or hostilities.
  • E. basedInDuringConflict
    Indicates that an entity is located or headquartered in a particular place for the duration of a specified conflict or war.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a696ee548190800d56c64c339b10 completed April 10, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69d8a2573dbc8190ab432e8e28fde6cc completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:43 p.m.