Triple

T19954312
Position Surface form Disambiguated ID Type / Status
Subject Antilopinae E479642 entity
Predicate containsGenus P9413 FINISHED
Object Antidorcas NE NERFINISHED

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: Antidorcas | Statement: [Antilopinae, containsGenus, Antidorcas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antidorcas
Context triple: [Antilopinae, containsGenus, Antidorcas]
  • A. Antidorcas chosen
    Antidorcas is a genus of medium-sized African antelopes best known for the springbok, a graceful, fast-running species adapted to arid and semi-arid habitats.
  • B. Hyemoschus
    Hyemoschus is a genus of small, primitive ruminant mammals commonly known as African chevrotains or mouse-deer, found in the forests of central and western Africa.
  • C. Pongo
    Pongo is the intelligent and devoted Dalmatian dog who serves as the central canine protagonist in Disney’s "One Hundred and One Dalmatians."
  • D. Pongo
    Pongo is the nickname of Pongo Twistleton, a comic character from P. G. Wodehouse’s stories, particularly known for his misadventures with his Uncle Fred.
  • E. Pongo
    Pongo is a dialect of the Duala language spoken by the Duala people of Cameroon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65aef16588190b3a40a3d49ef5080 completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.