Triple

T4783835
Position Surface form Disambiguated ID Type / Status
Subject César Azpilicueta E106428 entity
Predicate hasFamilyName P18 FINISHED
Object Azpilicueta E106428 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: Azpilicueta | Statement: [César Azpilicueta, hasFamilyName, Azpilicueta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azpilicueta
Context triple: [César Azpilicueta, hasFamilyName, Azpilicueta]
  • A. Azpilicueta chosen
    Azpilicueta is a Basque-origin surname notably borne by historical religious figures such as Francis Xavier and by contemporary Spanish footballers.
  • B. Llorente
    Llorente is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and access to the Pacific Ocean.
  • C. Ramos
    Ramos is a municipality in the Philippine province of Tarlac known for its predominantly agricultural economy and rural communities.
  • D. Mickael Barzalona
    Mickael Barzalona is a French flat racing jockey best known for his major international victories, including winning the Epsom Derby and the Dubai World Cup.
  • E. Hugo Carvajal
    Hugo Carvajal is a former Venezuelan military intelligence chief and close ally of Hugo Chávez who later became known internationally for allegations of drug trafficking, corruption, and political intrigue.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65ad3a188190872e47e3a3bf504b completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d93f2cc8190acf96766d2c5a946 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:22 p.m.