Triple

T10315279
Position Surface form Disambiguated ID Type / Status
Subject Peristediidae E241998 entity
Predicate usesSensoryStructure P38046 FINISHED
Object chin barbels for detecting prey 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: chin barbels for detecting prey | Statement: [Peristediidae, usesSensoryStructure, chin barbels for detecting prey]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesSensoryStructure
Context triple: [Peristediidae, usesSensoryStructure, chin barbels for detecting prey]
  • A. hasSensoryOrgans
    Indicates that an entity possesses organs specialized for sensing or perceiving stimuli from its environment.
  • B. sensorySystem chosen
    Indicates that one entity functions as the sensory system (or part of it) of another, enabling the detection and processing of internal or external stimuli.
  • C. providesSensoryEffects
    Indicates that one entity causes or contributes to sensory experiences or perceptions in another entity.
  • D. sensoryCommunication
    Indicates a relationship where one entity conveys or exchanges information with another through sensory signals or perception-based means.
  • E. hasHumanStructure
    Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ccb7ec8190a538cf279e48116e completed April 7, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69d4d1f4f354819080b4ed4bc61bdff6 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:48 a.m.