Triple

T14853070
Position Surface form Disambiguated ID Type / Status
Subject Peter Café Sport E349279 entity
Predicate name P16 FINISHED
Object Peter Café Sport E349279 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: Peter Café Sport | Statement: [Peter Café Sport, name, Peter Café Sport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Café Sport
Context triple: [Peter Café Sport, name, Peter Café Sport]
  • A. Peter Café Sport chosen
    Peter Café Sport is a famous sailors’ bar and café in Horta on the Azores’ island of Faial, long known as a legendary meeting point for transatlantic yachtsmen.
  • B. Cappielow
    Cappielow is a historic football stadium in Greenock, Scotland, best known as the long-time home ground of Greenock Morton F.C.
  • C. Café
    Café is a renowned modernist painting by Brazilian artist Cândido Portinari that depicts coffee plantation workers and highlights the social realities of rural labor in Brazil.
  • D. Adidas Beau Jeu
    The Adidas Beau Jeu is the specially designed football used as the official match ball for the UEFA Euro 2016 tournament.
  • E. Telecafé
    Telecafé is the revolving restaurant located in Berlin’s iconic TV Tower, offering panoramic views over 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded441e70881909bbf62b66d932aff completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6506ace48190819504b93f575660 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.