Triple

T12929326
Position Surface form Disambiguated ID Type / Status
Subject Briançon E309330 entity
Predicate roadConnection P385 FINISHED
Object Route nationale 94 E637691 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: Route nationale 94 | Statement: [Briançon, roadConnection, Route nationale 94]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route nationale 94
Context triple: [Briançon, roadConnection, Route nationale 94]
  • A. Route nationale 94 chosen
    Route nationale 94 is a French national road in southeastern France that connects the Durance valley to the Italian border through the Alps.
  • B. Route nationale 13
    Route nationale 13 is a major French national highway that connects Paris to Normandy, serving as an important route toward cities such as Caen and Cherbourg.
  • C. Route nationale 1
    Route nationale 1 is a major French national highway that historically links Paris to the northern regions and the English Channel coast.
  • D. Route nationale 3
    Route nationale 3 is a major French national highway that connects Paris to the eastern regions of France, passing through several towns and cities along its route.
  • E. Route nationale 77
    Route nationale 77 is a former French national highway in northeastern France that historically connected several towns including Sainte-Menehould.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971ec72a48190aceef10630603d2c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af687f548190b70ac8fa9bbbd414 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:42 p.m.