Triple

T10575328
Position Surface form Disambiguated ID Type / Status
Subject T1 E249594 entity
Predicate servesMunicipality P3936 FINISHED
Object Sant Just Desvern E261000 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 Just Desvern | Statement: [T1, servesMunicipality, Sant Just Desvern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sant Just Desvern
Context triple: [T1, servesMunicipality, Sant Just Desvern]
  • A. Sant Just Desvern chosen
    Sant Just Desvern is a municipality in the metropolitan area of Barcelona, Spain, known for its residential character and proximity to the Collserola hills.
  • B. Benicàssim
    Benicàssim is a coastal town in eastern Spain best known for its Mediterranean beaches and the annual Festival Internacional de Benicàssim (FIB) music festival.
  • C. Vilanova i la Geltrú
    Vilanova i la Geltrú is a coastal city in Catalonia, Spain, known for its Mediterranean beaches, cultural festivals, and role as a regional educational and industrial hub.
  • D. Banyoles
    Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
  • E. Sant Celoni
    Sant Celoni is a town in Catalonia, Spain, located northeast of Barcelona in the Vallès Oriental comarca, known as a local commercial and transport hub between the Montseny and Montnegre natural areas.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274b100c8190b477ef4cb745c269 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d98838c9b88190b12d8873695e219e completed April 10, 2026, 11:31 p.m.
Created at: April 6, 2026, 12:38 p.m.