Triple

T15523325
Position Surface form Disambiguated ID Type / Status
Subject Josep Borrell E369022 entity
Predicate givenName P17 FINISHED
Object Josep E922770 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: Josep | Statement: [Josep Borrell, givenName, Josep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josep
Context triple: [Josep Borrell, givenName, Josep]
  • A. Josep
    Josep "Pep" Guardiola is a highly successful Spanish football manager and former player, renowned for his innovative tactics and trophy-laden spells at clubs like FC Barcelona, Bayern Munich, and Manchester City.
  • B. Josep chosen
    Josep is a masculine given name of Catalan origin, equivalent to Joseph in English.
  • C. Josep Lluís
    Josep Lluís is the Catalan given name of the renowned Spanish architect and urban planner Josep Lluís Sert, a key figure in modernist architecture.
  • D. Enric
    Enric is a masculine given name of Catalan origin, commonly used in Catalonia and other Catalan-speaking regions.
  • E. Josep Irla
    Josep Irla was a Catalan politician who served as President of the Generalitat of Catalonia in exile during the Franco dictatorship, helping to preserve Catalan institutional continuity.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04143bda08190a2dee44918c1ad1c completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d54ea5c8190b3b220ad10ba8f40 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.