Triple

T7202124
Position Surface form Disambiguated ID Type / Status
Subject Gonesse E168772 entity
Predicate traversedBy P225 FINISHED
Object A1 motorway E343359 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: A1 motorway | Statement: [Gonesse, traversedBy, A1 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A1 motorway
Context triple: [Gonesse, traversedBy, A1 motorway]
  • A. A1 motorway
    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 chosen
    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 Croatian highway that runs from Zagreb toward the Dalmatian coast, serving as the country’s primary north–south transport corridor.
  • 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e94a9ee4819086de79fcdfa1836a completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d561b3c7c08190a2212b685f436093 completed April 7, 2026, 7:57 p.m.
Created at: March 27, 2026, 2:52 p.m.