Triple

T17808281
Position Surface form Disambiguated ID Type / Status
Subject Juan Cervera E444626 entity
Predicate familyName P18 FINISHED
Object Cervera 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: Cervera | Statement: [Juan Cervera, familyName, Cervera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cervera
Context triple: [Juan Cervera, familyName, Cervera]
  • A. Cervera chosen
    Cervera is a Spanish surname historically associated with notable figures such as Admiral Pascual Cervera y Topete.
  • B. Cabrera de Mar
    Cabrera de Mar is a coastal municipality in the Maresme comarca of Catalonia, Spain, known for its Mediterranean beaches and archaeological heritage.
  • C. Castro Urdiales
    Castro Urdiales is a coastal town in northern Spain known for its medieval architecture, fishing port, and beaches along the Bay of Biscay.
  • D. Spínola
    Spínola is a Portuguese surname most prominently associated with António de Spínola, a key military figure and political leader during Portugal’s Carnation Revolution.
  • E. Fuenla
    Fuenla is the popular nickname of CF Fuenlabrada, a Spanish football club based in the city of Fuenlabrada in the Community of Madrid.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488779a3081908405eac4930a095f completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.