Triple

T6130469
Position Surface form Disambiguated ID Type / Status
Subject A57 road E136703 entity
Predicate roadNumber P1864 FINISHED
Object A57 E433904 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: A57 | Statement: [A57 road, roadNumber, A57]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A57
Context triple: [A57 road, roadNumber, A57]
  • A. A57 chosen
    The A57 is a major road in the United Kingdom that connects several towns and cities across northern England, providing an important east–west transport route.
  • B. A55
    A55 is a major Australian highway route designation used for sections of the Castlereagh Highway in New South Wales.
  • C. A56
    The A56 is a major road in North West England that runs between Chester and Broughton, passing through key urban areas including Manchester.
  • D. A595
    The A595 is a primary road in Cumbria, England, running along the county’s western side and serving as a key route to coastal towns and the western Lake District.
  • E. A59
    A59 is a major road in northern England that runs between Liverpool and York, passing through key towns such as Preston and Skipton.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4de9c48190b98f67a6251ec1df completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135d080808190938e3a1095080850 completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:15 p.m.