Triple

T21525137
Position Surface form Disambiguated ID Type / Status
Subject A30 road E531074 entity
Predicate roadNumber P1864 FINISHED
Object A30 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: A30 | Statement: [A30 road, roadNumber, A30]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A30
Context triple: [A30 road, roadNumber, A30]
  • A. A30 chosen
    The A30 is a major trunk road in southern England that runs from London to Land's End in Cornwall, serving as an important route across the southwest.
  • B. A303
    The A303 is a major trunk road in southern England that links the M3 motorway near Basingstoke to the A30 in Devon, passing close to landmarks such as Stonehenge.
  • C. A33
    A33 is a major road in southern England that runs between Reading and Southampton, serving as an important regional transport route.
  • D. A302
    A302 is a key section of London's Inner Ring Road, linking central routes across Westminster and the South Bank.
  • E. A31
    A31 is a major European motorway designation used for important highway routes in countries such as France and Germany.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee885073888190ae49f967f72acbf8 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.