Triple

T15471998
Position Surface form Disambiguated ID Type / Status
Subject Paris road network E376683 entity
Predicate connectedTo P37 FINISHED
Object A6 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: A6 motorway | Statement: [Paris road network, connectedTo, A6 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A6 motorway
Context triple: [Paris road network, connectedTo, A6 motorway]
  • A. A6 motorway chosen
    The A6 motorway is a major French highway that forms part of the main route between Paris and Lyon, serving as a key corridor through central and eastern France.
  • B. A6 motorway
    The A6 motorway is a major Swiss highway that connects the Bern metropolitan area with other key regions, facilitating regional and national road transport.
  • C. A6 motorway
    The A6 motorway is a major east–west autobahn in southern Germany that forms part of the European route network and connects key regions including the Nuremberg metropolitan area.
  • D. A6 motorway
    The A6 motorway is a major Dutch highway that connects the province of Flevoland with the national road network, facilitating north–south traffic across the reclaimed polder regions.
  • E. A6 motorway
    The A6 motorway is a major Italian highway linking the cities of Turin and Savona, facilitating transport between the Piedmont region and the Ligurian coast.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6c57308190b4cfe661c26addd4 completed April 16, 2026, 1:46 a.m.
Created at: April 10, 2026, 3:33 a.m.