Triple

T13303199
Position Surface form Disambiguated ID Type / Status
Subject Gironès E316865 entity
Predicate contains P35 FINISHED
Object Bescanó E1028929 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: Bescanó | Statement: [Gironès, contains, Bescanó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bescanó
Context triple: [Gironès, contains, Bescanó]
  • A. Bescanó chosen
    Bescanó is a municipality in the province of Girona, Catalonia, Spain, known for its rural character and proximity to the city of Girona.
  • B. Berguedà
    Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
  • C. Trambesòs
    Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
  • D. Camarasa
    Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
  • E. Vall d’Àneu
    Vall d’Àneu is a high Pyrenean valley in Catalonia, Spain, known for its mountainous landscapes, traditional villages, and proximity to the Aigüestortes i Estany de Sant Maurici National Park.
  • 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_69f716e161008190a48275ef54225d56 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.