Triple

T22349237
Position Surface form Disambiguated ID Type / Status
Subject A10 motorway (Portugal) E552482 entity
Predicate startPoint P389 FINISHED
Object Benavente 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: Benavente | Statement: [A10 motorway (Portugal), startPoint, Benavente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benavente
Context triple: [A10 motorway (Portugal), startPoint, Benavente]
  • A. Benavente chosen
    Benavente is a Portuguese town and municipality in the Ribatejo region, known for its agricultural landscape and proximity to the Tagus River.
  • B. Muñoz Ledo
    Muñoz Ledo is the surname of Porfirio Muñoz Ledo, a prominent Mexican politician and diplomat known for his influential roles in Mexico’s democratic transition.
  • C. Balazote
    Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
  • D. Negrín
    Negrín is a Spanish surname most notably associated with Juan Negrín, the physician and politician who served as Prime Minister of the Second Spanish Republic during the Spanish Civil War.
  • E. Priolo Gargallo
    Priolo Gargallo is a small industrial and residential town and comune in southeastern Sicily, Italy, situated near the city of Syracuse.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1579a1c308190ae2174f99ae317ab completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:43 p.m.