Triple

T14286054
Position Surface form Disambiguated ID Type / Status
Subject Grizzly Giant E354177 entity
Predicate hasFireAdaptation P2375 FINISHED
Object thick bark resistant to low-intensity fire 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: thick bark resistant to low-intensity fire | Statement: [Grizzly Giant, hasFireAdaptation, thick bark resistant to low-intensity fire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFireAdaptation
Context triple: [Grizzly Giant, hasFireAdaptation, thick bark resistant to low-intensity fire]
  • A. hasHumanAdaptation
    Indicates that something has been modified, designed, or adjusted specifically to suit human use, abilities, or needs.
  • B. hasFireRegime
    Indicates that an area or ecosystem is characterized by a particular pattern, frequency, and intensity of fires over time.
  • C. hasAquaticAdaptationsIn
    Indicates that an entity possesses physical or behavioral adaptations suited for living or functioning in a specified aquatic environment.
  • D. adaptationType chosen
    Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
  • E. adaptationSuccess
    Indicates that an entity has effectively adjusted or responded to a change in conditions, environment, or requirements.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69de2a88446481909cd526da97a3b70f completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:11 a.m.