Triple

T31689984
Position Surface form Disambiguated ID Type / Status
Subject Forest Service roads E808762 entity
Predicate canMitigate P149336 FINISHED
Object wildfire response times 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: wildfire response times | Statement: [Forest Service roads, canMitigate, wildfire response times]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canMitigate
Context triple: [Forest Service roads, canMitigate, wildfire response times]
  • A. requiresMitigation
    Indicates that something poses a risk or issue that must be addressed through specific mitigation actions or measures.
  • B. builtAsMitigationFor
    Indicates that one entity was constructed specifically to reduce, prevent, or counteract a particular risk, problem, or adverse impact associated with another entity.
  • C. canImpact
    Indicates that one entity has the potential or ability to affect, influence, or cause a change in another entity.
  • D. canImpair
    Indicates that one entity has the potential or ability to weaken, damage, or reduce the normal function, quality, or effectiveness of another entity.
  • E. mitigationStrategy chosen
    Indicates a relationship where one entity serves as a method or approach used to reduce, control, or lessen the negative impact, risk, or severity associated with another 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_69f348ddcbc48190950cabcc25ff29b3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aaf50be08190a2b62a6d881f8aee completed May 3, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 11:08 p.m.