Triple

T29872
Position Surface form Disambiguated ID Type / Status
Subject giant sequoia E596 entity
Predicate fireAdaptation P1980 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: [giant sequoia, fireAdaptation, thick bark resistant to low-intensity fire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fireAdaptation
Context triple: [giant sequoia, fireAdaptation, thick bark resistant to low-intensity fire]
  • A. hasMediaAdaptation
    Indicates that a work has been adapted into another medium, such as film, television, or other forms of media.
  • B. forceType
    Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
  • C. formationEvent
    Indicates the event or process through which something comes into existence, is created, or is initially established.
  • D. fueledBy
    Indicates that one entity provides the energy or power source that enables the operation or functioning of another entity.
  • E. adoptedBy
    Indicates that an entity has been taken in and legally or formally accepted as a child, member, or responsibility by another entity.
  • F. None of above. chosen

Provenance (4 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a2490019948190a89bb0910c60d462 completed Feb. 28, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69a2486d40348190b2d21fc444f499a6 completed Feb. 28, 2026, 1:44 a.m.
PDg Predicate description generation batch_69a248fef2b881908180bd4e32e58cb5 completed Feb. 28, 2026, 1:46 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.