Triple

T575735
Position Surface form Disambiguated ID Type / Status
Subject Me at the zoo E13757 entity
Predicate describedAnimal P5692 FINISHED
Object elephant 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: elephant | Statement: [Me at the zoo, describedAnimal, elephant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: describedAnimal
Context triple: [Me at the zoo, describedAnimal, elephant]
  • A. hasAnimal
    Indicates that one entity possesses, keeps, or is associated with an animal.
  • B. faunaCharacteristic chosen
    Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
  • C. fauna
    Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
  • D. pet
    Indicates that one entity keeps another animal for companionship or pleasure, typically providing care and shelter.
  • E. featuresSpecies
    Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b67395c8190a8046ff7debe9d1f completed March 1, 2026, 8:02 p.m.
PD Predicate disambiguation batch_69a494c692288190b88f30299516b5ba completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.