Triple

T7170774
Position Surface form Disambiguated ID Type / Status
Subject José Fernando de Abascal E167189 entity
Predicate familyName P18 FINISHED
Object Abascal E96431 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: Abascal | Statement: [José Fernando de Abascal, familyName, Abascal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abascal
Context triple: [José Fernando de Abascal, familyName, Abascal]
  • A. Mariano Abasolo
    Mariano Abasolo was a Mexican insurgent leader and early supporter of Miguel Hidalgo who played a key role in the initial stages of the Mexican War of Independence.
  • B. Santiago Abascal chosen
    Santiago Abascal is a Spanish politician best known as the leader and co-founder of the right-wing populist party Vox.
  • C. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • D. Porras Barrenechea
    Porras Barrenechea is the surname of Raúl Porras Barrenechea, a prominent Peruvian historian, diplomat, and politician.
  • E. Ángel María Villar
    Ángel María Villar is a former Spanish football administrator and ex-player who led the Royal Spanish Football Federation for nearly three decades and held influential roles within UEFA and FIFA.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85ec718819085af59fadee9d22d completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b910c2688190b28573c5d58542d5 completed March 28, 2026, 11:18 a.m.
Created at: March 27, 2026, 2:48 p.m.