Triple

T20916187
Position Surface form Disambiguated ID Type / Status
Subject Academy of the Asturian Language E515079 entity
Predicate locatedIn P40 FINISHED
Object Oviedo NE NERFINISHED

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: Oviedo | Statement: [Academy of the Asturian Language, locatedIn, Oviedo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oviedo
Context triple: [Academy of the Asturian Language, locatedIn, Oviedo]
  • A. Oviedo chosen
    Oviedo is the historic capital city of Spain’s Asturias region, known for its well-preserved medieval old town, pre-Romanesque churches, and role as a cultural and administrative center in northern Spain.
  • B. Castropol
    Castropol is a coastal municipality and town in the Asturias region of northern Spain, situated along the Eo estuary near the border with Galicia.
  • C. Burgos
    Burgos is a small coastal municipality on the northern tip of Siargao Island in the Philippines, known for its quiet beaches and surf spots.
  • D. Burgos
    Burgos is a historic city in northern Spain known for its medieval architecture and its prominent role during the Spanish Civil War.
  • E. Astorga
    Astorga is a rural barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec628a38819093dcb70de91c770b completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.