Triple

T9286938
Position Surface form Disambiguated ID Type / Status
Subject Catagonus wagneri E223416 entity
Predicate hasSnoutAdaptation P87407 FINISHED
Object used to break cactus spines 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: used to break cactus spines | Statement: [Catagonus wagneri, hasSnoutAdaptation, used to break cactus spines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSnoutAdaptation
Context triple: [Catagonus wagneri, hasSnoutAdaptation, used to break cactus spines]
  • A. snoutType
    Indicates the type or form of an entity’s snout in relation to its overall morphology.
  • B. hasHumanAdaptation
    Indicates that something has been modified, designed, or adjusted specifically to suit human use, abilities, or needs.
  • C. beakShapeAdaptedTo
    Indicates that an organism’s beak shape is specifically suited or modified to function effectively in a particular environment, diet, or ecological role.
  • D. hasPharyngealSlits
    Indicates that an organism possesses pharyngeal slits, openings in the pharynx that connect the throat to the external environment or a cavity, typically used for filter-feeding or respiration.
  • E. hasScutes
    Indicates that an entity possesses scutes, meaning it has bony or horny external plates as part of its body covering.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0821b1108190b16e9570b09a14de completed April 1, 2026, 11:57 a.m.
PD Predicate disambiguation batch_69cc7a576ec88190bbb787eb82e2e539 completed April 1, 2026, 1:52 a.m.
PDg Predicate description generation batch_69cc94b796788190816b71b1e9996288 completed April 1, 2026, 3:44 a.m.
Created at: March 30, 2026, 7:35 p.m.