Triple

T34275696
Position Surface form Disambiguated ID Type / Status
Subject Gymnarchus niloticus E879447 entity
Predicate electroreceptorType P39632 FINISHED
Object tuberous electroreceptors 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: tuberous electroreceptors | Statement: [Gymnarchus niloticus, electroreceptorType, tuberous electroreceptors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electroreceptorType
Context triple: [Gymnarchus niloticus, electroreceptorType, tuberous electroreceptors]
  • A. usesElectroreceptionFor
    Indicates that an entity detects and interprets electrical fields in its environment specifically for the associated purpose or activity.
  • B. isWeaklyElectric
    Indicates that an entity possesses a weak form of electric capability or discharge, typically used for sensing or low-intensity electrical interactions rather than strong shocks.
  • C. isEelLike
    Indicates that one entity resembles or shares key characteristics with an eel in form or behavior.
  • D. usesElectricOrganDischarges
    Indicates that an entity produces and utilizes electric organ discharges, typically for functions such as communication, navigation, or predation.
  • E. receptorSystem chosen
    Indicates that one entity functions as a receptor system through which another entity receives, processes, or responds to signals or stimuli.
  • 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_69f349b5f6648190b9420d94a4cd16e0 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff16775a9881909d26dbc1f0ef3e1c completed May 9, 2026, 11:11 a.m.
PD Predicate disambiguation batch_69ff158e61708190a1c581d0d306cfce completed May 9, 2026, 11:07 a.m.
Created at: May 1, 2026, 1:56 a.m.