Triple

T33901013
Position Surface form Disambiguated ID Type / Status
Subject Porichthys notatus E869046 entity
Predicate hasPhotophores P18863 FINISHED
Object true 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: true | Statement: [Porichthys notatus, hasPhotophores, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhotophores
Context triple: [Porichthys notatus, hasPhotophores, true]
  • A. usesBioluminescenceFor
    Indicates that an entity employs bioluminescence specifically for a particular function, purpose, or context.
  • B. hasPhosphorescence
    Indicates that one entity exhibits phosphorescence as a property or characteristic.
  • C. hasIridescentScales
    Indicates that an entity possesses scales exhibiting iridescence, meaning their colors appear to change when viewed from different angles or lighting conditions.
  • D. hasIridescentWings
    Indicates that an entity possesses wings that display iridescence, showing changing colors when viewed from different angles.
  • E. bioluminescent chosen
    Indicates that an entity produces and emits light through a biological chemical reaction.
  • 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_69f34997703c8190866b1d404bce531f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7688dd3d08190ad13d0e780570a1c completed May 3, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69f767fcf2f881908bacc7bfc38e68a5 completed May 3, 2026, 3:21 p.m.
Created at: May 1, 2026, 1:48 a.m.