Triple

T25723556
Position Surface form Disambiguated ID Type / Status
Subject ANILCA E645054 entity
Predicate createdConservationSystemUnitType P64281 FINISHED
Object national park 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: national park | Statement: [ANILCA, createdConservationSystemUnitType, national park]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: createdConservationSystemUnitType
Context triple: [ANILCA, createdConservationSystemUnitType, national park]
  • A. createdEntityType chosen
    Indicates the type or category of entity that was produced or brought into existence as a result of the creation action.
  • B. conservationSystem
    Indicates a system, framework, or set of measures designed to preserve, protect, or sustainably manage natural resources, biodiversity, or cultural heritage.
  • C. createdRegimeOf
    Indicates that one entity brought about, established, or was responsible for the formation of a particular regime or system of rule for another entity.
  • D. expandedExistingUnitType
    Indicates that an existing unit type has been enlarged, extended, or otherwise increased in capacity or scope.
  • E. typeOfConservation
    Indicates the specific kind or category of conservation practice, method, or approach that applies to an entity or situation.
  • 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_69e77e8476fc8190bd5e9d05b89fad0a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6640168948190811bd5f933a87cf5 completed May 2, 2026, 8:52 p.m.
PD Predicate disambiguation batch_69f6633451948190bcc0410602bb4914 completed May 2, 2026, 8:48 p.m.
Created at: April 21, 2026, 10:07 p.m.