Triple

T11313485
Position Surface form Disambiguated ID Type / Status
Subject Autoroute A9 E267901 entity
Predicate connectsTo P845 FINISHED
Object Autoroute A7 E254641 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 A7 | Statement: [Autoroute A9, connectsTo, Autoroute A7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Autoroute A7
Context triple: [Autoroute A9, connectsTo, Autoroute A7]
  • A. Autoroute A7 chosen
    Autoroute A7 is a major French motorway in southeastern France that connects Lyon to Marseille and serves as a key route to the Mediterranean coast.
  • B. Autoroute A6
    Autoroute A6 is a major French motorway linking Paris to Lyon and serving as a key segment of the primary north–south route through France.
  • C. Autoroute A5
    Autoroute A5 is a major French motorway that connects the Paris region to the east of the country, serving as an important route toward Troyes and beyond.
  • D. Autoroute A9
    Autoroute A9 is a major French motorway in the south of France that links the Rhône valley to the Spanish border along the Mediterranean coast.
  • E. Autoroute A3
    Autoroute A3 is a short French motorway in the Île-de-France region that connects Paris to its northeastern suburbs and links with major routes such as the A1 and A86.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c1b7dc81908d8cc768c47390d3 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f12fa07fc081909a42f9c19ad38511 completed April 28, 2026, 10:07 p.m.
Created at: April 8, 2026, 9:32 p.m.