Triple

T4783853
Position Surface form Disambiguated ID Type / Status
Subject Martín de Azpilcueta E106428 entity
Predicate hasFamilyName P18 FINISHED
Object Azpilcueta
Azpilcueta is a Spanish Basque surname most notably borne by the 16th-century theologian and canon lawyer Martín de Azpilcueta.
 E468894 NE FINISHED

How this triple was built (4 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: Azpilcueta | Statement: [Martín de Azpilcueta, hasFamilyName, Azpilcueta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Azpilcueta
Context triple: [Martín de Azpilcueta, hasFamilyName, Azpilcueta]
  • A. Buenaventura de Abarzuza
    Buenaventura de Abarzuza was a Spanish diplomat and politician who notably served as Spain’s representative in key late 19th-century international negotiations.
  • B. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • C. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • D. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • E. Juan de Amezquita
    Juan de Amezquita was a Spanish colonial figure known for establishing the town of Caguas in Puerto Rico.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Azpilcueta
Triple: [Martín de Azpilcueta, hasFamilyName, Azpilcueta]
Generated description
Azpilcueta is a Spanish Basque surname most notably borne by the 16th-century theologian and canon lawyer Martín de Azpilcueta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Azpilcueta
Target entity description: Azpilcueta is a Spanish Basque surname most notably borne by the 16th-century theologian and canon lawyer Martín de Azpilcueta.
  • A. Buenaventura de Abarzuza
    Buenaventura de Abarzuza was a Spanish diplomat and politician who notably served as Spain’s representative in key late 19th-century international negotiations.
  • B. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • C. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • D. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • E. Juan de Amezquita
    Juan de Amezquita was a Spanish colonial figure known for establishing the town of Caguas in Puerto Rico.
  • F. None of above. chosen

Provenance (5 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_69be43dbdec88190817845e7930a18f6 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be447c21d48190ab57c8761e733ff4 completed March 21, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69be45f5ebec8190b62c428b465d1bd9 completed March 21, 2026, 7:17 a.m.
Created at: March 20, 2026, 1:22 p.m.