Triple

T8824707
Position Surface form Disambiguated ID Type / Status
Subject Alejandro Valverde E209985 entity
Predicate placeOfBirth P1 FINISHED
Object Las Lumbreras E360073 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: Las Lumbreras | Statement: [Alejandro Valverde, placeOfBirth, Las Lumbreras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Lumbreras
Context triple: [Alejandro Valverde, placeOfBirth, Las Lumbreras]
  • A. La Plaza
    La Plaza is the historic central square of Los Angeles, recognized as the birthplace of the city and a focal point of its early civic and cultural life.
  • B. El Matorral
    El Matorral is a locality on the island of Fuerteventura in Spain’s Canary Islands, known for hosting Fuerteventura Airport and serving as a gateway for tourists visiting the island.
  • C. Il Fortino
    Il Fortino is a historic coastal fortification that serves as the iconic symbol and central landmark of Forte dei Marmi in Tuscany, Italy.
  • D. Pie de la Cuesta
    Pie de la Cuesta is a coastal community and beach area near Acapulco in the Mexican state of Guerrero, known for its sunsets and laid-back atmosphere.
  • E. Ontinyent chosen
    Ontinyent is a historic town in eastern Spain known for its textile industry, traditional festivals, and scenic setting along the Clariano River.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc603220508190b64e22dec3ee5ceb completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf894902588190adb60140c64561f6 completed April 3, 2026, 9:32 a.m.
Created at: March 30, 2026, 6:46 p.m.