Triple

T9243965
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Asturias E222139 entity
Predicate capital P234 FINISHED
Object Oviedo E189947 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: Oviedo | Statement: [Kingdom of Asturias, capital, Oviedo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oviedo
Context triple: [Kingdom of Asturias, capital, 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. 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.
  • C. Burgos
    Burgos is a historic city in northern Spain known for its medieval architecture and its prominent role during the Spanish Civil War.
  • D. Astorga
    Astorga is a historic city in the province of León, Spain, known for its Roman heritage, medieval cathedral, and a Modernist Episcopal Palace designed by Antoni Gaudí.
  • E. Gijón
    Gijón is a coastal city in northern Spain’s Asturias region, known for its major seaport, maritime heritage, and beaches along the Bay of Biscay.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03edd37481908ea2f6dac354f04f completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bca80a481908038fee287989a54 completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:30 p.m.