Triple

T2047079
Position Surface form Disambiguated ID Type / Status
Subject José de Garnica E45477 entity
Predicate hasSurname P18 FINISHED
Object de Garnica
De Garnica is a Spanish surname associated with individuals such as José de Garnica.
E228192 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: de Garnica | Statement: [José de Garnica, hasSurname, de Garnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Garnica
Context triple: [José de Garnica, hasSurname, de Garnica]
  • A. Albuhera
    Albuhera is a village in southwestern Spain that was the site of a major 1811 Peninsular War battle between British-led allied forces and the French.
  • B. Gernika-Lumo
    Gernika-Lumo is a historic town in the Basque Country of northern Spain, internationally known for the 1937 bombing that inspired Pablo Picasso’s famous painting "Guernica."
  • C. Morata de Tajuña
    Morata de Tajuña is a municipality in the Community of Madrid, central Spain, historically noted for its proximity to key fighting during the Spanish Civil War’s Battle of Jarama.
  • D. Manresa
    Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
  • E. Ibora
    Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
  • 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: de Garnica
Triple: [José de Garnica, hasSurname, de Garnica]
Generated description
De Garnica is a Spanish surname associated with individuals such as José de Garnica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: de Garnica
Target entity description: De Garnica is a Spanish surname associated with individuals such as José de Garnica.
  • A. Albuhera
    Albuhera is a village in southwestern Spain that was the site of a major 1811 Peninsular War battle between British-led allied forces and the French.
  • B. Gernika-Lumo
    Gernika-Lumo is a historic town in the Basque Country of northern Spain, internationally known for the 1937 bombing that inspired Pablo Picasso’s famous painting "Guernica."
  • C. Morata de Tajuña
    Morata de Tajuña is a municipality in the Community of Madrid, central Spain, historically noted for its proximity to key fighting during the Spanish Civil War’s Battle of Jarama.
  • D. Manresa
    Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
  • E. Ibora
    Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb973a51881908c2c1e633daa3cb4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2003e9488190b54ff042c91d4a62 completed March 9, 2026, 1:19 a.m.
NEDg Description generation batch_69ae209544d881909438630ca5970d84 completed March 9, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ae210b7b888190a879effa9d1e6ac3 completed March 9, 2026, 1:23 a.m.
Created at: March 4, 2026, 7:39 p.m.