Triple

T12401552
Position Surface form Disambiguated ID Type / Status
Subject La Molina District E296266 entity
Predicate capital P234 FINISHED
Object La Molina E16954 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: La Molina | Statement: [La Molina District, capital, La Molina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Molina
Context triple: [La Molina District, capital, La Molina]
  • A. La Molina chosen
    La Molina is an affluent residential and educational district located in the eastern part of Lima, Peru.
  • B. El Molinón
    El Molinón is a historic football stadium in Gijón, Spain, best known as the longtime home ground of Sporting de Gijón and one of the oldest professional football venues in the country.
  • C. Pinar de Chamartín
    Pinar de Chamartín is a major Madrid Metro interchange station in the north of the city that serves as a key terminal and transfer hub for multiple lines.
  • D. El Masnou
    El Masnou is a coastal town and municipality in the Maresme comarca of Catalonia, Spain, known for its beaches and proximity to Barcelona.
  • E. Cantoblanco, Madrid
    Cantoblanco, Madrid is a northern district of Madrid known primarily as the site of the Autonomous University of Madrid’s main campus and associated research and residential facilities.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d477004819095e65ef6f70c69d9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63484c6808190a71d24f8ee3a7e15 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.