Triple

T5915521
Position Surface form Disambiguated ID Type / Status
Subject Huesca province E131569 entity
Predicate contains P35 FINISHED
Object Bielsa E288726 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: Bielsa | Statement: [Huesca province, contains, Bielsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bielsa
Context triple: [Huesca province, contains, Bielsa]
  • A. Bielsa chosen
    Bielsa is a small mountain town in the Spanish Pyrenees, known as a gateway to the Ordesa y Monte Perdido National Park and for its traditional Aragonese culture.
  • B. Marcelo Bielsa
    Marcelo Bielsa is an influential Argentine football manager renowned for his high-intensity, attacking style and meticulous tactical approach.
  • C. Benítez
    Benítez is a Spanish surname most prominently associated with football manager Rafael Benítez, known for his successful coaching career in European club football.
  • D. Gerardo Martino
    Gerardo Martino is an Argentine football manager and former player best known for coaching top clubs and national teams, including FC Barcelona, Argentina, and Mexico.
  • E. Óscar Pareja
    Óscar Pareja is a Colombian soccer manager and former midfielder known for his successful coaching stints in Major League Soccer, including with FC Dallas and Orlando City SC.
  • 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.