Triple

T14918658
Position Surface form Disambiguated ID Type / Status
Subject municipality of Voorst E371448 entity
Predicate hasTransport P1298 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: [municipality of Voorst, hasTransport, A1 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A1 motorway
Context triple: [municipality of Voorst, hasTransport, A1 motorway]
  • A. A1 motorway
    The A1 motorway is a major Romanian highway forming part of the European route network, linking Bucharest and other key cities in southern and western Romania toward the Hungarian border.
  • B. 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.
  • C. 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.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62f76bc81909ebc8899096cd1a0 completed April 15, 2026, 12:05 a.m.
Created at: April 10, 2026, 2:33 a.m.