Triple

T10575534
Position Surface form Disambiguated ID Type / Status
Subject Cornellà Centre E249601 entity
Predicate namedAfter P63 FINISHED
Object Cornellà city centre E249601 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: Cornellà city centre | Statement: [Cornellà Centre, namedAfter, Cornellà city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cornellà city centre
Context triple: [Cornellà Centre, namedAfter, Cornellà city centre]
  • A. Cornellà Centre chosen
    Cornellà Centre is a major public transport hub in Cornellà de Llobregat, Barcelona, serving as an interchange between tram, metro, and commuter rail services.
  • B. Granollers Centre
    Granollers Centre is a main railway station in the city of Granollers, Catalonia, providing regional and commuter rail connections to Barcelona and surrounding areas.
  • C. Ciutat Vella
    Ciutat Vella is Barcelona’s historic city center, known for its medieval streets, Gothic architecture, and major cultural landmarks.
  • D. Colomars
    Colomars is a small commune in southeastern France situated in the hills northwest of Nice, known for its scenic Mediterranean landscape and proximity to the French Riviera.
  • E. Barri Vell
    Barri Vell is the historic old quarter of Girona, known for its medieval streets, ancient city walls, and well-preserved architectural heritage.
  • 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_69d95e78ad6c81909eaa0cdc41c5cc82 completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:38 p.m.