Triple

T4317664
Position Surface form Disambiguated ID Type / Status
Subject Santiago Abascal E96431 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: [Santiago Abascal, familyName, Abascal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abascal
Context triple: [Santiago 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. Mariano Sanz de Santamaría
    Mariano Sanz de Santamaría was a Colombian architect best known for designing Bogotá’s National Capitol building, a landmark of neoclassical architecture and national governance.
  • E. Juan Carlos Aramburu
    Juan Carlos Aramburu was an Argentine Roman Catholic cardinal who served as Archbishop of Buenos Aires and was a prominent figure in the country’s church during the late 20th century.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350f733888190866611fcdea97a5f completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db9193c08190a6a63b82f604ecde completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:12 p.m.