Triple

T16254100
Position Surface form Disambiguated ID Type / Status
Subject Las Vegas Altas del Guadiana E394584 entity
Predicate administrativeCenter P1474 FINISHED
Object Don Benito E501426 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: Don Benito | Statement: [Las Vegas Altas del Guadiana, administrativeCenter, Don Benito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Benito
Context triple: [Las Vegas Altas del Guadiana, administrativeCenter, Don Benito]
  • A. Don Benito chosen
    Don Benito is a town in the province of Badajoz, in Spain’s Extremadura region, known for its agricultural economy and close association with the nearby town of Villanueva de la Serena.
  • B. Don Marcelino
    Don Marcelino is a coastal municipality in the province of Davao Occidental in the Philippines, known for its agricultural and fishing-based local economy.
  • C. Rico Santo
    Rico Santo is an individual notable enough to be recognized as a prominent bearer of the surname Santo.
  • D. Rafael Banquells
    Rafael Banquells was a Cuban-born Mexican actor and director known for his work in classic Mexican cinema and television.
  • E. Tito Larriva
    Tito Larriva is a Mexican-American musician and actor best known as the frontman of the band Tito & Tarantula and for his roles in films by directors like Robert Rodriguez.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24598c9488190a92df7d8b1824724 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b1e22c8190bddca67661121c2d completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:04 a.m.