Triple

T994639
Position Surface form Disambiguated ID Type / Status
Subject Giant Forest sequoia grove E21467 entity
Predicate fireManagement P20871 FINISHED
Object subject to prescribed burns for sequoia regeneration 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: subject to prescribed burns for sequoia regeneration | Statement: [Giant Forest sequoia grove, fireManagement, subject to prescribed burns for sequoia regeneration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fireManagement
Context triple: [Giant Forest sequoia grove, fireManagement, subject to prescribed burns for sequoia regeneration]
  • A. hasFireRegime chosen
    Indicates that an area or ecosystem is characterized by a particular pattern, frequency, and intensity of fires over time.
  • B. fireRescue
    Indicates a relationship where one entity performs or is responsible for rescuing people or property from fires or fire-related emergencies involving another entity.
  • C. fireJurisdiction
    Indicates that one entity has official authority and responsibility over fire protection, prevention, or response activities within the area or domain of another entity.
  • D. firefightingMethods
    Indicates the techniques or strategies used to control, contain, or extinguish fires.
  • E. fireModes
    Indicates the different ways or settings in which a weapon or device can be fired or operated.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c75de88190bf7fec7a053f7a90 completed March 1, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69a4b2af071c819086c374a16307dfe0 completed March 1, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:41 p.m.