Triple

T22934932
Position Surface form Disambiguated ID Type / Status
Subject Indochina dry forests E569554 entity
Predicate hasFloraAdaptation P130825 FINISHED
Object drought tolerance 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: drought tolerance | Statement: [Indochina dry forests, hasFloraAdaptation, drought tolerance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFloraAdaptation
Context triple: [Indochina dry forests, hasFloraAdaptation, drought tolerance]
  • A. typicalVegetationAdaptation chosen
    Indicates the characteristic ways in which vegetation is adapted to the prevailing environmental conditions of a given area.
  • B. hasHumanAdaptation
    Indicates that something has been modified, designed, or adjusted specifically to suit human use, abilities, or needs.
  • C. associatedFlora
    Indicates a relationship where specific plants or vegetation are characteristically linked to, occur with, or are commonly found in association with a given entity or environment.
  • D. studiedFloraOf
    Indicates that a subject conducted research or examination on the plant life (flora) of a specified object or region.
  • E. hasFloraGroup
    Indicates that an entity is associated with, contains, or is characterized by a particular group or category of plant life.
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181350c7881908a72dc7a30e1aaff completed April 29, 2026, 3:55 a.m.
PD Predicate disambiguation batch_69ef3b882e708190b0eb0c87021c75b8 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:44 p.m.