Triple

T5281653
Position Surface form Disambiguated ID Type / Status
Subject Joaquín de la Pezuela E119511 entity
Predicate birthPlace P1 FINISHED
Object Navalcarnero E80242 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: Navalcarnero | Statement: [Joaquín de la Pezuela, birthPlace, Navalcarnero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Navalcarnero
Context triple: [Joaquín de la Pezuela, birthPlace, Navalcarnero]
  • A. Navalcarnero chosen
    Navalcarnero is a historic town and municipality in central Spain known for its traditional architecture, wine production, and location southwest of Madrid.
  • B. Marín
    Marín is a coastal town in the province of Pontevedra, Galicia, Spain, known for its naval traditions and as a base of the Spanish Navy.
  • C. Mola
    Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
  • D. Carballo
    Carballo is a Spanish surname, likely a regional or phonetic variant of the name Carvajal.
  • E. Mandraki
    Mandraki is the main port town and one of the primary settlements on the Greek island of Hydra, known for its traditional architecture and seaside setting.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c5212481909cb3b5f43c0eedc0 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06e27b5081908b755a817d4c260a completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:52 p.m.