Triple

T4873960
Position Surface form Disambiguated ID Type / Status
Subject La Molina Avenue E109154 entity
Predicate district P2709 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 Avenue, district, La Molina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Molina
Context triple: [La Molina Avenue, district, La Molina]
  • A. La Molina chosen
    La Molina is an affluent residential and educational district located in the eastern part of Lima, Peru.
  • B. 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.
  • C. Las Rozas de Madrid
    Las Rozas de Madrid is a suburban municipality northwest of central Madrid, known for its residential areas, business parks, and large outlet shopping centers.
  • D. Morata de Tajuña
    Morata de Tajuña is a municipality in the Community of Madrid, central Spain, historically noted for its proximity to key fighting during the Spanish Civil War’s Battle of Jarama.
  • E. Boadilla del Monte
    Boadilla del Monte is a suburban municipality in the Community of Madrid, Spain, known for its residential areas, green spaces, and proximity to the Spanish capital.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9fa0b08190ab1fc7ec395dca37 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67f5b51c8190a8114450084d2b13 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.