Triple

T10804442
Position Surface form Disambiguated ID Type / Status
Subject Mataró E254926 entity
Predicate hasTransportInfrastructure P2560 FINISHED
Object C-32 motorway E784558 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: C-32 motorway | Statement: [Mataró, hasTransportInfrastructure, C-32 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C-32 motorway
Context triple: [Mataró, hasTransportInfrastructure, C-32 motorway]
  • A. C-32 motorway chosen
    The C-32 motorway is a major Spanish highway in Catalonia that runs along the Mediterranean coast, linking Barcelona with key coastal towns and tourist areas.
  • B. C-31 motorway
    The C-31 motorway is a major Spanish highway in Catalonia that links Barcelona with nearby coastal and metropolitan areas.
  • C. M32 motorway
    The M32 motorway is a short urban motorway in England that links the M4 to the city of Bristol, providing a primary route into the city centre.
  • D. A-32 motorway
    The A-32 motorway is a Spanish highway that connects the city of Albacete with other parts of southeastern Spain, improving regional transport and accessibility.
  • E. O-3 motorway
    The O-3 motorway is a major Turkish highway in European Thrace that forms part of the main road connection between Istanbul and the western border with Europe.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73370e7388190885b104fc883456e completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1ab899081908f16439de65f442b completed May 6, 2026, 8:16 p.m.
Created at: April 8, 2026, 9:18 p.m.