Triple

T1762432
Position Surface form Disambiguated ID Type / Status
Subject Utricularia E38685 entity
Predicate preyCaptureMechanism P31463 FINISHED
Object active suction generated by negative pressure in bladders 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: active suction generated by negative pressure in bladders | Statement: [Utricularia, preyCaptureMechanism, active suction generated by negative pressure in bladders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preyCaptureMechanism
Context triple: [Utricularia, preyCaptureMechanism, active suction generated by negative pressure in bladders]
  • A. preysOn
    Indicates that one entity hunts, kills, and consumes another entity as a food source.
  • B. predators
    Indicates a relationship where one organism hunts, kills, and consumes another organism as a food source.
  • C. apexPredatorIn
    Indicates that an entity is the top predator within a specified environment, ecosystem, or location, facing no regular natural predators there.
  • D. antiPredatorStrategy
    Indicates a behavior or adaptation used to avoid, deter, or reduce the risk of predation by other organisms.
  • E. catches
    Indicates that one entity successfully seizes, intercepts, or takes hold of another entity, often stopping its motion or preventing its escape.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab173936b4819097332ee185996bbd completed March 6, 2026, 6:04 p.m.
PD Predicate disambiguation batch_69aa61c9e06c819085489e00cfe72153 completed March 6, 2026, 5:10 a.m.
PDg Predicate description generation batch_69ab173830a481908b67928f16f5d999 completed March 6, 2026, 6:04 p.m.
Created at: March 4, 2026, 7:31 p.m.