Triple

T21745951
Position Surface form Disambiguated ID Type / Status
Subject Toro y Zambrano family E536786 entity
Predicate familyNameComponent P18 FINISHED
Object Toro 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: Toro | Statement: [Toro y Zambrano family, familyNameComponent, Toro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toro
Context triple: [Toro y Zambrano family, familyNameComponent, Toro]
  • A. Toro
    Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
  • B. Toro
    Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
  • C. Toro chosen
    Toro is a historic town in the province of Zamora, Castile and León, Spain, known for its medieval architecture and wine production.
  • D. Toro
    Toro is a Marvel Comics supervillain and member of the Invaders, often depicted as a powerful, bull-like adversary.
  • E. Toro
    Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a76540c8190b91a67f4a70869fb completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.