Triple

T12975838
Position Surface form Disambiguated ID Type / Status
Subject Vinci SA E321520 entity
Predicate hasSubsidiary P254 FINISHED
Object Cofiroute E246941 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: Cofiroute | Statement: [Vinci SA, hasSubsidiary, Cofiroute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cofiroute
Context triple: [Vinci SA, hasSubsidiary, Cofiroute]
  • A. Cofiroute chosen
    Cofiroute is a French toll road concession company that finances, builds, and operates motorway and tunnel infrastructure.
  • B. koa-router
    koa-router is a popular routing middleware for the Koa web framework that provides URL routing, route parameters, and middleware composition for building Node.js APIs and web applications.
  • C. Sharp Edge route
    The Sharp Edge route is a famous, exposed scrambling ridge in England’s Lake District, known for its dramatic narrow crest and challenging ascent to the summit of Blencathra.
  • D. Route 501
    Route 501 is a numbered roadway that serves as a regional transportation corridor connected to Route 440.
  • E. Routing
    Routing is the Symfony component responsible for mapping incoming HTTP requests to specific controllers and actions based on defined URL patterns.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e48c0208190bb7ec80780480b37 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ec821c81909398d8e02d69dcbf completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:37 p.m.