Triple

T21182188
Position Surface form Disambiguated ID Type / Status
Subject TRU E521977 entity
Predicate namedAfter P63 FINISHED
Object Carlos Martínez de Pinillos NE NERFINISHED

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: Carlos Martínez de Pinillos | Statement: [TRU, namedAfter, Carlos Martínez de Pinillos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlos Martínez de Pinillos
Context triple: [TRU, namedAfter, Carlos Martínez de Pinillos]
  • A. Carlos Martínez de Pinillos chosen
    Carlos Martínez de Pinillos was a Peruvian Air Force captain honored posthumously as the namesake of the international airport serving Trujillo, Peru.
  • B. José María López Rayón
    José María López Rayón was a Mexican insurgent and political figure active during the early 19th-century struggle for independence from Spain.
  • C. José Luzán
    José Luzán was an 18th-century Spanish painter and influential teacher best known for mentoring the young Francisco Goya.
  • D. Benito Villamarín
    Benito Villamarín was a prominent Spanish football executive best known for his long tenure as president of Real Betis Balompié.
  • E. Carlos Ibáñez del Campo
    Carlos Ibáñez del Campo was a Chilean military officer and politician who twice served as President of Chile, playing a major role in the country’s early 20th-century political history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301eb3248190b9f6fc1586651fec completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:04 p.m.