Triple

T7170777
Position Surface form Disambiguated ID Type / Status
Subject José Fernando de Abascal E167189 entity
Predicate birthPlace P1 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: [José Fernando de Abascal, birthPlace, Oviedo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oviedo
Context triple: [José Fernando de Abascal, birthPlace, 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85ec718819085af59fadee9d22d completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e510cb488190abde1c66e2fa4db4 completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:48 p.m.