Triple

T36702793
Position Surface form Disambiguated ID Type / Status
Subject Brachyrhaphis roseni E906273 entity
Predicate hasLateralLineSystem P36502 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: [Brachyrhaphis roseni, hasLateralLineSystem, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLateralLineSystem
Context triple: [Brachyrhaphis roseni, hasLateralLineSystem, true]
  • A. hasLateralStructure chosen
    Indicates that one entity possesses or exhibits a structural feature oriented to or located on its side(s).
  • B. hasStraightLines
    Indicates that the related entity possesses or is characterized by straight, non-curved lines.
  • C. hasLeadingWheelArrangement
    Indicates the specific configuration of the leading (front) wheels in a vehicle’s or locomotive’s wheel arrangement.
  • D. hasRacingSide
    Indicates that an entity possesses or is associated with a side or aspect specifically dedicated to racing.
  • E. hasSideTrails
    Indicates that a main path or route is accompanied by additional, smaller trails branching off from it.
  • 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_69f76e7195c48190b5580c9cfb01e95f completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ffb69812808190a751853b30183e65 completed May 9, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69ffb63bdda88190a9dd8426dc0bad43 completed May 9, 2026, 10:33 p.m.
Created at: May 3, 2026, 4:12 p.m.