Triple

T26851262
Position Surface form Disambiguated ID Type / Status
Subject Kuyonon E676063 entity
Predicate secondaryAreaOfUse P180307 FINISHED
Object mainland Palawan 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: mainland Palawan | Statement: [Kuyonon, secondaryAreaOfUse, mainland Palawan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondaryAreaOfUse
Context triple: [Kuyonon, secondaryAreaOfUse, mainland Palawan]
  • A. secondaryLandUse
    Indicates a secondary or additional way in which a piece of land is used, beyond its primary designated use.
  • B. secondaryBuildingUse
    Indicates how a building is used in a secondary or supplementary capacity in addition to its primary function.
  • C. primaryUseArea
    Indicates the main functional area or domain in which an entity is primarily used or applied.
  • D. secondaryFunction
    Indicates that an entity has an additional, supporting role or purpose beyond its primary function.
  • E. secondaryTo
    Indicates that one condition, event, or factor occurs as a consequence of, or is caused by, another primary condition, event, or factor.
  • F. None of above. chosen

Provenance (4 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_69eee9b9d7708190a15d7485709ae981 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f73ae120bc8190bff94d38d7a7a00d completed May 3, 2026, 12:09 p.m.
PD Predicate disambiguation batch_69f73a38d0848190aa5139144b8561c6 completed May 3, 2026, 12:06 p.m.
PDg Predicate description generation batch_69f73adfd9a081908adae6bd59dfefb9 completed May 3, 2026, 12:09 p.m.
Created at: April 27, 2026, 5:17 a.m.