Triple

T11714751
Position Surface form Disambiguated ID Type / Status
Subject Autoroute A89 E278465 entity
Predicate hasJunctionWith P1018 FINISHED
Object Autoroute A10 E257042 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: Autoroute A10 | Statement: [Autoroute A89, hasJunctionWith, Autoroute A10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autoroute A10
Context triple: [Autoroute A89, hasJunctionWith, Autoroute A10]
  • A. Autoroute A10 chosen
    Autoroute A10 is a major French motorway linking Paris to the southwest of France, including cities such as Orléans, Tours, and Bordeaux.
  • B. Autoroute A1
    Autoroute A1 is a major French motorway that connects Paris to Lille and serves as a key route toward Belgium and northern Europe.
  • 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 A104
    Autoroute A104 is a French ring-road motorway in the Île-de-France region that serves as part of the outer beltway around Paris, helping to divert traffic around the city.
  • E. Autoroute A12
    Autoroute A12 is a short French motorway in the Île-de-France region that connects the A13 to the western suburbs of Paris.
  • 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_69f61e33557c8190a724bb45c59abc63 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:40 p.m.