Triple

T5915536
Position Surface form Disambiguated ID Type / Status
Subject Huesca province E131569 entity
Predicate river P165 FINISHED
Object Gállego E272634 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: Gállego | Statement: [Huesca province, river, Gállego]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gállego
Context triple: [Huesca province, river, Gállego]
  • A. Gállego chosen
    The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
  • B. Gallego
    Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
  • C. Carballal
    Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
  • D. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • E. Negrín
    Negrín is a Spanish surname most notably associated with Juan Negrín, the physician and politician who served as Prime Minister of the Second Spanish Republic during the Spanish Civil War.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037bb538c8190acc514c2d49359f4 completed March 22, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c02430bc8190a63b91b6dbdbc9f2 completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 3:59 p.m.