Triple

T21353860
Position Surface form Disambiguated ID Type / Status
Subject A13 motorway E526558 entity
Predicate alsoKnownAs P39 FINISHED
Object Autoroute A13 — 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: Autoroute A13 | Statement: [A13 motorway, alsoKnownAs, Autoroute A13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Autoroute A13
Context triple: [A13 motorway, alsoKnownAs, Autoroute A13]
  • A. Autoroute A13 chosen
    Autoroute A13 is a major French motorway linking Paris to Normandy, serving as one of the country’s oldest and most heavily used expressways.
  • B. Autoroute A16
    Autoroute A16 is a major French motorway in northern France that connects the Paris region to the Channel coast and the Belgian border.
  • C. Autoroute A19
    Autoroute A19 is a French motorway in central France that serves as an important east–west bypass of Paris, linking several major autoroutes and facilitating long-distance transit traffic.
  • D. Autoroute A14
    Autoroute A14 is a French motorway serving as a western approach to Paris, providing an alternative route to the heavily used Autoroute A13.
  • E. Autoroute A10
    Autoroute A10 is a major French motorway linking Paris to the southwest of France, including cities such as Orléans, Tours, and Bordeaux.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8af9aa9508190b756cc8e07084c8e completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:05 p.m.