Triple

T6457652
Position Surface form Disambiguated ID Type / Status
Subject Príncipe Pío station E142033 entity
Predicate locatedInNeighborhood P40 FINISHED
Object Argüelles E533334 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: Argüelles | Statement: [Príncipe Pío station, locatedInNeighborhood, Argüelles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argüelles
Context triple: [Príncipe Pío station, locatedInNeighborhood, Argüelles]
  • A. Argüelles chosen
    Argüelles is a Madrid Metro station serving the Argüelles neighborhood, providing an interchange between several central metro lines.
  • B. Argüello
    Argüello is a Spanish-language surname of likely Iberian or Latin American origin borne by various notable individuals.
  • C. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • D. Hinojosa
    Hinojosa is a Spanish surname historically associated with figures such as José de la Serna e Hinojosa, the last viceroy of Peru.
  • E. Salmerón
    Salmerón is a Spanish surname associated with notable figures in religion, politics, and the arts.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069d758508190b9c7358ef84f8169 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c67403f7bc81908020e7f488121f8f completed March 27, 2026, 12:11 p.m.
Created at: March 22, 2026, 4:48 p.m.