Triple

T8409425
Position Surface form Disambiguated ID Type / Status
Subject Rías Altas E198583 entity
Predicate contains P35 FINISHED
Object Muxía E719448 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: Muxía | Statement: [Rías Altas, contains, Muxía]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muxía
Context triple: [Rías Altas, contains, Muxía]
  • A. Muxía chosen
    Muxía is a coastal town in Galicia, northwestern Spain, known for its dramatic Atlantic scenery, fishing heritage, and role as a spiritual and cultural endpoint for some Camino de Santiago pilgrims.
  • B. Miño
    Miño is a major river in the northwest of the Iberian Peninsula, flowing through Galicia and partly forming the border between Spain and Portugal before emptying into the Atlantic Ocean.
  • C. Maullín
    Maullín is a small coastal town and commune in southern Chile’s Los Lagos Region, known for its wetlands, rich birdlife, and traditional fishing culture.
  • D. Quiriego
    Quiriego is a rural municipality in the Mexican state of Sonora, known for its agricultural activities and small, dispersed communities.
  • E. Nalón
    The Nalón is a major river in Asturias, northern Spain, known for flowing through mountainous landscapes and historically supporting regional industry and mining.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8317045c8190b69cc99854b633be completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce030dccf08190a70c0abf0bdcf244 completed April 2, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:05 p.m.