Triple

T3060775
Position Surface form Disambiguated ID Type / Status
Subject Camargue horse E61990 entity
Predicate associatedWith P37 FINISHED
Object Camargue cattle E62591 NE 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: Camargue cattle | Statement: [Camargue horse, associatedWith, Camargue cattle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camargue cattle
Context triple: [Camargue horse, associatedWith, Camargue cattle]
  • A. Camargue horse
    The Camargue horse is an ancient, small, and hardy gray horse breed native to the marshes of southern France, renowned for its sure-footedness and use in traditional cattle herding.
  • B. Camargue bull chosen
    The Camargue bull is a small, hardy black cattle breed native to the wetlands of southern France, traditionally used in local bull games and extensive free-range grazing.
  • C. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • D. Galloway cattle
    Galloway cattle are a hardy, polled beef cattle breed from Scotland, known for their thick, wavy coats and ability to thrive in harsh climates.
  • E. Charolais
    Charolais is a historic rural region in eastern France renowned for its high-quality beef cattle and rich agricultural traditions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e9e1e248190b5ed5ebcdad1321e completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0e757481908eb1d9693474c49d completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.