Triple

T11714730
Position Surface form Disambiguated ID Type / Status
Subject Autoroute A89 E278465 entity
Predicate routeNumber P1864 FINISHED
Object A89 E892060 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: A89 | Statement: [Autoroute A89, routeNumber, A89]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A89
Context triple: [Autoroute A89, routeNumber, A89]
  • A. 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.
  • B. A89 chosen
    A89 is a major French autoroute that runs across central France, linking Bordeaux to Lyon and connecting with several key motorways.
  • C. A80
    The A80 is a major road in Scotland that historically served as a key route between Glasgow and Stirling before being largely replaced by the M80 motorway.
  • D. 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.
  • E. A86
    A86 is a major orbital motorway forming part of the ring road system around Paris, 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4bf54d88190a8e07fbbf8d9e962 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8397a4ac8190a71dfdd53bfa168a completed April 27, 2026, 3:41 p.m.
Created at: April 8, 2026, 9:40 p.m.