Triple

T36832721
Position Surface form Disambiguated ID Type / Status
Subject Willowra E910186 entity
Predicate hasRangerOrLandManagementPrograms P6139 FINISHED
Object true 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: true | Statement: [Willowra, hasRangerOrLandManagementPrograms, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRangerOrLandManagementPrograms
Context triple: [Willowra, hasRangerOrLandManagementPrograms, true]
  • A. hasConservationManagementBy
    Indicates that an entity is subject to conservation management activities carried out or overseen by a specified agent or organization.
  • B. managesProtectedArea
    Indicates that an entity has responsibility for overseeing, administering, and caring for a designated protected area.
  • C. hasConservationProgram chosen
    Indicates that an entity maintains or participates in an organized effort to protect, restore, or sustainably manage natural resources, species, or ecosystems.
  • D. hasConservationLand
    Indicates that an entity possesses, manages, or is associated with land designated for environmental or natural resource conservation.
  • E. hasGrazingManagement
    Indicates that an entity applies or is associated with a specific system or practice for managing grazing activities.
  • 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_69f76e7e9d60819092442fba73290a46 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fda94697c4819081291967202248be completed May 8, 2026, 9:13 a.m.
PD Predicate disambiguation batch_69fda5973fcc8190a57daef31fb70a49 completed May 8, 2026, 8:57 a.m.
Created at: May 3, 2026, 4:13 p.m.