Triple

T3953335
Position Surface form Disambiguated ID Type / Status
Subject A40 motorway E84917 entity
Predicate hasName P744 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: [A40 motorway, hasName, A40]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A40
Context triple: [A40 motorway, hasName, 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. A414
    The A414 is a major east–west road in southern England that links several Hertfordshire towns and provides an important route near Welwyn Garden City.
  • C. A417
    A417 is a major road in England that links key towns and routes in Gloucestershire and the surrounding region.
  • D. 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.
  • E. 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.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef93b8f5c8190bdb062a76b68b3e0 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533ab58c08190ad83bf02571caaf2 completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:30 p.m.