Triple

T11343359
Position Surface form Disambiguated ID Type / Status
Subject tudabarai E268654 entity
Predicate usesAnimalCarcass P99352 FINISHED
Object goat carcass 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: goat carcass | Statement: [tudabarai, usesAnimalCarcass, goat carcass]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesAnimalCarcass
Context triple: [tudabarai, usesAnimalCarcass, goat carcass]
  • A. usedAnimal
    Indicates that one entity employed or exploited an animal for a particular purpose or activity.
  • B. usesLiveAnimals
    Indicates that one entity employs or incorporates live animals in performing an action, service, process, or activity involving another entity.
  • C. usesCaninesFor
    Indicates a relationship where an entity employs or relies on its canine teeth for a particular function or activity.
  • D. usesCreature
    Indicates that one entity employs, controls, or relies on a creature to perform an action or fulfill a function.
  • E. hasAnimal
    Indicates that one entity possesses, keeps, or is associated with an animal.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
PD Predicate disambiguation batch_69d7e6f8aeb4819080476f16a69b2ee3 completed April 9, 2026, 5:50 p.m.
PDg Predicate description generation batch_69d801451b1c8190944b17906b354142 completed April 9, 2026, 7:43 p.m.
Created at: April 8, 2026, 9:33 p.m.