Triple

T13303220
Position Surface form Disambiguated ID Type / Status
Subject Gironès E316865 entity
Predicate contains P35 FINISHED
Object Sant Joan de Mollet E1035375 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: Sant Joan de Mollet | Statement: [Gironès, contains, Sant Joan de Mollet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sant Joan de Mollet
Context triple: [Gironès, contains, Sant Joan de Mollet]
  • A. Sant Joan de Mollet chosen
    Sant Joan de Mollet is a small municipality in the comarca of Gironès in the province of Girona, Catalonia, Spain.
  • B. Sant Joan Despí
    Sant Joan Despí is a municipality in the Baix Llobregat comarca near Barcelona, Spain, known for its modernist architecture and role as a residential and industrial suburb of the Catalan capital.
  • C. Sant Quirze del Vallès
    Sant Quirze del Vallès is a municipality in the comarca of Vallès Occidental in Catalonia, Spain, situated near Barcelona and integrated into its metropolitan area.
  • D. Sant Pere de Vilamajor
    Sant Pere de Vilamajor is a municipality in the province of Barcelona, Catalonia, known for its rural character and location near the Montseny Natural Park.
  • E. Sant Martí
    Sant Martí is a Barcelona Metro station on line 2 serving the Sant Martí district in the northeastern part of the city.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a60eb08190bf0dc098ca7dc342 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7266a316c81908361acc75581f211 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:28 p.m.