Triple

T36857759
Position Surface form Disambiguated ID Type / Status
Subject Perentie E910840 entity
Predicate hasGlands P186590 FINISHED
Object oral venom glands 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: oral venom glands | Statement: [Perentie, hasGlands, oral venom glands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGlands
Context triple: [Perentie, hasGlands, oral venom glands]
  • A. hasOilGlands
    Indicates that one entity possesses oil-producing glands associated with or contained within another entity.
  • B. hasGonads
    Indicates that an entity possesses gonads, the reproductive organs that produce gametes (sperm or eggs).
  • C. hasAreoles
    Indicates that one entity possesses or exhibits areoles as a characteristic or feature.
  • D. hasMammaryGlands
    Indicates that the subject possesses mammary glands, typically used for producing milk to nourish offspring.
  • E. hasParotoidGlands
    Indicates that an organism possesses parotoid glands, i.e., specialized external skin glands typically located behind the eyes or on the neck.
  • F. None of above. chosen

Provenance (4 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_69f76e8033d48190a59274f86f13be48 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fe1a1ca4819084c196f0041f0be2 completed May 5, 2026, 2:26 p.m.
PD Predicate disambiguation batch_69f7cf7890008190a8bc355ff2d61c86 completed May 3, 2026, 10:43 p.m.
PDg Predicate description generation batch_69f9fd66eed48190bdc26a8def328c2d completed May 5, 2026, 2:23 p.m.
Created at: May 3, 2026, 4:13 p.m.