Triple

T7782311
Position Surface form Disambiguated ID Type / Status
Subject Luis Enrique E221550 entity
Predicate placeOfBirth P1 FINISHED
Object Gijón, Asturias, Spain E269560 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: Gijón, Asturias, Spain | Statement: [Luis Enrique, placeOfBirth, Gijón, Asturias, Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gijón, Asturias, Spain
Context triple: [Luis Enrique, placeOfBirth, Gijón, Asturias, Spain]
  • A. Gijón chosen
    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.
  • B. Valladolid, Spain
    Valladolid, Spain is a historic city in northwestern Spain that served as a former capital of the Spanish Empire and is known for its rich cultural heritage and architecture.
  • C. Zamora, Spain
    Zamora, Spain is a historic city in the Castile and León region known for its remarkably well-preserved Romanesque architecture and medieval city walls.
  • D. Santpedor, Spain
    Santpedor, Spain is a small Catalan town in the province of Barcelona, best known internationally as the birthplace of football manager Pep Guardiola.
  • E. Beasain, Spain
    Beasain, Spain is a town in the Basque Country notable as an industrial center, particularly for its long-standing railway and rolling stock manufacturing heritage.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cadf1dcc6c8190b3c6ee4ff7808e02 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5d30c748190bbb71534cfdf4f75 completed March 30, 2026, 10:14 p.m.
Created at: March 30, 2026, 4:21 p.m.