Triple

T2513630
Position Surface form Disambiguated ID Type / Status
Subject Autoroute Blanche E52757 entity
Predicate hasRouteNumber P1864 FINISHED
Object A40 E50853 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: A40 | Statement: [Autoroute Blanche, hasRouteNumber, A40]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A40
Context triple: [Autoroute Blanche, hasRouteNumber, A40]
  • A. A40 chosen
    A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
  • B. A44
    A44 is a major trunk road in the United Kingdom that runs across central and western England into mid Wales, linking several important towns and regions.
  • C. A46
    A46 is a major trunk road in England that runs from Bath in the southwest to Cleethorpes on the east coast, connecting several key cities and regions.
  • D. A4120
    A4120 is a numbered A-road in the United Kingdom that serves as a regional connector route.
  • E. A470
    A470 is a major trunk road in Wales that runs from Cardiff in the south to Llandudno in the north, linking many of the country’s key towns and regions.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd20c8ab0819096d6a654039beb39 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b934d3c81909627a5f4d6e6ca6a completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.