Triple

T10249475
Position Surface form Disambiguated ID Type / Status
Subject Vinci Autoroutes E240301 entity
Predicate ownsBrand P1500 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 Autoroutes, ownsBrand, Cofiroute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cofiroute
Context triple: [Vinci Autoroutes, ownsBrand, 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. Route 501
    Route 501 is a numbered roadway that serves as a regional transportation corridor connected to Route 440.
  • D. Routing
    Routing is the Symfony component responsible for mapping incoming HTTP requests to specific controllers and actions based on defined URL patterns.
  • E. React Router
    React Router is a popular routing library for React applications that enables declarative, client-side navigation and URL management in single-page apps.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23c4cd88190b99e65a074b68d6b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7b66c6881908b432fbdd5ecf11e completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:28 a.m.