Triple

T25723555
Position Surface form Disambiguated ID Type / Status
Subject ANILCA E645054 entity
Predicate areaProtected P159020 FINISHED
Object over 100 million acres of federal land in Alaska 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: over 100 million acres of federal land in Alaska | Statement: [ANILCA, areaProtected, over 100 million acres of federal land in Alaska]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areaProtected
Context triple: [ANILCA, areaProtected, over 100 million acres of federal land in Alaska]
  • A. areaProtected chosen
    Indicates that a specified geographic area is designated and managed as protected, typically restricting certain activities to conserve its natural or cultural resources.
  • B. coveredArea
    Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
  • C. protectedAreaCountry
    Indicates that a protected area is located within and legally falls under the jurisdiction of a specific country.
  • D. percentageProtectedArea
    Indicates the proportion of a given area that is designated and managed as protected land or water.
  • E. protectedAreaEstablishedBy
    Indicates that a protected area was formally created, designated, or brought into legal existence by a specific agent or authority.
  • 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_69f5fc692684819091fdaace59b40334 completed May 2, 2026, 1:30 p.m.
PD Predicate disambiguation batch_69f4938262ac8190b41f922d0407d272 completed May 1, 2026, 11:50 a.m.
Created at: April 21, 2026, 10:07 p.m.