Triple

T26564323
Position Surface form Disambiguated ID Type / Status
Subject Przewalski’s horse E666333 entity
Predicate captiveBreeding P28094 FINISHED
Object successful 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: successful | Statement: [Przewalski’s horse, captiveBreeding, successful]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: captiveBreeding
Context triple: [Przewalski’s horse, captiveBreeding, successful]
  • A. reproductionInCaptivity chosen
    Indicates that an organism reproduces successfully while being kept in a controlled or captive environment rather than in the wild.
  • B. captivePopulation
    Indicates that the entities are part of a population kept in captivity, such as in zoos, aquariums, or breeding facilities, rather than living in the wild.
  • C. breedingCenter
    Indicates a relationship where an entity serves as a facility or location dedicated to breeding or reproducing organisms.
  • D. domesticationCenter
    Indicates the place or region where a species was first brought under human control and selectively bred, marking the origin of its domestication.
  • E. breedingUse
    Indicates that one entity is used for breeding or reproductive purposes with respect to another entity.
  • 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_69ee9cf7e94481909f0d556b36e43572 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f6149cc0c88190aadaacfa45a2382e completed May 2, 2026, 3:13 p.m.
PD Predicate disambiguation batch_69f602d7b1b0819095ddd3b5169f8ce2 completed May 2, 2026, 1:57 p.m.
Created at: April 27, 2026, 1:54 a.m.