Triple

T23862769
Position Surface form Disambiguated ID Type / Status
Subject Cheat Mountain salamander E592493 entity
Predicate hasLungs P29816 FINISHED
Object false 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: false | Statement: [Cheat Mountain salamander, hasLungs, false]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLungs
Context triple: [Cheat Mountain salamander, hasLungs, false]
  • A. hasRespiratorySystem
    Indicates that an entity possesses a respiratory system, i.e., anatomical structures enabling breathing and gas exchange.
  • B. hasOrganPart
    Indicates that one entity includes another entity as a constituent organ or anatomical part.
  • C. hasOrganSystem chosen
    Indicates that an entity possesses or is associated with a particular organ system as part of its biological structure or function.
  • D. releaseTypeOfLungs
    Indicates the type or manner in which lungs release or expel substances (such as air or gases).
  • E. hasTrueOrgans
    Indicates that an entity possesses fully developed, functional organs rather than primitive or rudimentary structures.
  • 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_69e25d22eb488190914b193aff952e83 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1cae16df4819081a8b3a395e45118 completed April 29, 2026, 9:09 a.m.
PD Predicate disambiguation batch_69f1614a65a88190bde1efb368a151e4 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 8:13 p.m.