Triple

T2255218
Position Surface form Disambiguated ID Type / Status
Subject Ha-De-Ron-Dah Wilderness Area E49705 entity
Predicate hasPrimaryManagementGoal P1415 FINISHED
Object preservation of natural conditions 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: preservation of natural conditions | Statement: [Ha-De-Ron-Dah Wilderness Area, hasPrimaryManagementGoal, preservation of natural conditions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryManagementGoal
Context triple: [Ha-De-Ron-Dah Wilderness Area, hasPrimaryManagementGoal, preservation of natural conditions]
  • A. hasManagementGoal
    Indicates that an entity is associated with a specific management objective or target it is intended to achieve or support.
  • B. hasPrimaryGoal chosen
    Indicates that an entity’s main or most important objective is the specified goal.
  • C. hasPolicyGoal
    Indicates that an entity is associated with, or aims to achieve, a specific policy objective or target.
  • D. hasConservationGoal
    Indicates that an entity is associated with or aims to achieve a specific conservation-related objective or target.
  • E. strategicGoal
    Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc121af78819085b2e601d2f9bcdf completed March 7, 2026, 6:09 a.m.
PD Predicate disambiguation batch_69abbdb34c148190b51e99f540f97204 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:47 p.m.