Triple

T5020859
Position Surface form Disambiguated ID Type / Status
Subject Brize Norton E112844 entity
Predicate hasNearbyRoad P11435 FINISHED
Object A40 E448084 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: [Brize Norton, hasNearbyRoad, A40]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A40
Context triple: [Brize Norton, hasNearbyRoad, A40]
  • A. A40
    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. A40 chosen
    The A40 is a major road in England that runs from London through Oxford and on toward Wales, serving as an important east–west transport route.
  • C. 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.
  • D. A417
    A417 is a major road in England that links key towns and routes in Gloucestershire and the surrounding region.
  • E. 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.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736399ac8190aa38efc4b4edc6a2 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be927f4ad0819096826f6cb141c90b completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:36 p.m.