Triple

T8147608
Position Surface form Disambiguated ID Type / Status
Subject Province of Girona E190252 entity
Predicate contains P35 FINISHED
Object Tossa de Mar E682552 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: Tossa de Mar | Statement: [Province of Girona, contains, Tossa de Mar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tossa de Mar
Context triple: [Province of Girona, contains, Tossa de Mar]
  • A. Tossa de Mar chosen
    Tossa de Mar is a picturesque coastal town on Spain’s Costa Brava, known for its medieval walled old town, sandy beaches, and historic role as a scenic backdrop in classic cinema.
  • B. Terrassa
    Terrassa is a city in Catalonia, Spain, known as part of the Barcelona metropolitan area and for its industrial heritage and modernist architecture.
  • C. Cala Fustam
    Cala Fustam is a small, secluded cove with clear turquoise waters and sandy shores on the south coast of Menorca in Spain’s Balearic Islands.
  • D. La Pintana
    La Pintana is a commune in the Santiago Metropolitan Region of Chile, known for its predominantly residential character and significant social and urban development challenges.
  • E. Far de la Mola
    Far de la Mola is a historic cliff-top lighthouse on the eastern end of Formentera, Spain, known for its dramatic sea views and literary associations with Jules Verne.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb447d6b1881908ff3fa25af6b4e80 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbedc48108190bcf98a82b9625250 completed April 1, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:36 p.m.