Triple

T5020591
Position Surface form Disambiguated ID Type / Status
Subject Montauban E112838 entity
Predicate twinTown P1072 FINISHED
Object Castelldefels E266955 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: Castelldefels | Statement: [Montauban, twinTown, Castelldefels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castelldefels
Context triple: [Montauban, twinTown, Castelldefels]
  • A. Castelldefels chosen
    Castelldefels is a coastal town near Barcelona in Catalonia, Spain, known for its long sandy beaches and residential character.
  • B. Sant Feliu de Guíxols
    Sant Feliu de Guíxols is a coastal town on Spain’s Costa Brava known for its historic Benedictine monastery, Mediterranean beaches, and tourism.
  • C. 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.
  • D. Vilafranca del Penedès
    Vilafranca del Penedès is a historic town in Catalonia, Spain, known as a traditional wine-producing center in the Penedès region.
  • E. Esplugues de Llobregat
    Esplugues de Llobregat is a municipality in the metropolitan area of Barcelona, Catalonia, known for its residential character and proximity to the Catalan capital.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736399ac8190aa38efc4b4edc6a2 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be927f4ad0819096826f6cb141c90b completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:36 p.m.