Triple

T14759204
Position Surface form Disambiguated ID Type / Status
Subject A86 motorway E346811 entity
Predicate roadNumber P1864 FINISHED
Object A86 E246939 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: A86 | Statement: [A86 motorway, roadNumber, A86]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A86
Context triple: [A86 motorway, roadNumber, A86]
  • A. A86 chosen
    A86 is a major orbital motorway forming part of the ring road system around Paris, France.
  • B. A8
    A8 is a major numbered road designation used in several countries for important regional or intercity routes.
  • C. A89
    The A89 is a major road in Scotland that connects Edinburgh and Glasgow, passing through various towns and serving as an important regional transport route.
  • D. A89
    A89 is a major French autoroute that runs across central France, linking Bordeaux to Lyon and connecting with several key motorways.
  • E. A85
    A85 is a French autoroute that serves as a major east–west motorway linking the A11 near Angers to the A71 near Vierzon, facilitating regional and long-distance traffic across central France.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f0f5a48190af008352c26574d7 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cefb7c08190bf69b15165f046d0 completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.