Triple

T17533028
Position Surface form Disambiguated ID Type / Status
Subject Barneveld E426985 entity
Predicate traversedBy P225 FINISHED
Object A1 motorway NE NERFINISHED

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: A1 motorway | Statement: [Barneveld, traversedBy, A1 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A1 motorway
Context triple: [Barneveld, traversedBy, A1 motorway]
  • A. A1 motorway chosen
    The A1 motorway is a major east–west highway in the Netherlands that connects Amsterdam to the German border, passing through provinces including Gelderland.
  • B. A1 motorway
    The A1 motorway is a major Swiss highway that runs across the country, connecting key cities such as Geneva, Lausanne, Bern, and Zurich.
  • C. A1 motorway
    The A1 motorway is a major French highway connecting Paris to Lille and serving as a key route toward Belgium and northern Europe.
  • D. A1 motorway
    The A1 motorway is a major German autobahn running north–south that connects key cities and regions across the country.
  • E. A1 motorway
    The A1 motorway is a major Portuguese highway that forms the primary north–south route between Lisbon and Porto, passing near cities such as Santarém.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4536a0f588190ade91d32308897a0 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.