Triple

T20442350
Position Surface form Disambiguated ID Type / Status
Subject Don Benito E501426 entity
Predicate hasTraditionalRegion P14194 FINISHED
Object Las Vegas Altas del Guadiana 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: Las Vegas Altas del Guadiana | Statement: [Don Benito, hasTraditionalRegion, Las Vegas Altas del Guadiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Vegas Altas del Guadiana
Context triple: [Don Benito, hasTraditionalRegion, Las Vegas Altas del Guadiana]
  • A. Las Vegas Altas del Guadiana chosen
    Las Vegas Altas del Guadiana is a comarca (county) in the Extremadura region of western Spain, known for its irrigated agricultural plains along the Guadiana River.
  • B. Las Vegas del Guadiana
    Las Vegas del Guadiana is an agricultural region in the Guadiana River basin in Extremadura, Spain, known for its irrigated farmlands and rural landscapes.
  • C. Tecate
    Tecate is a Mexican border city in the state of Baja California, known for its brewery and as a quieter alternative crossing point near Tijuana.
  • D. Anza
    Anza is a river in the Italian Alps that flows through the Valle Anzasca in the Piedmont region.
  • E. Red de San Luis
    Red de San Luis was the former name of Madrid’s Gran Vía metro station, historically referring to the central square area where the station is located.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f3b794819080745b135a305ba7 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:32 a.m.