Triple

T10249477
Position Surface form Disambiguated ID Type / Status
Subject Vinci Autoroutes E240301 entity
Predicate ownsBrand P1500 FINISHED
Object Arcour
Arcour is a French motorway concession company associated with the Vinci Autoroutes network.
 E853803 NE FINISHED

How this triple was built (4 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: Arcour | Statement: [Vinci Autoroutes, ownsBrand, Arcour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arcour
Context triple: [Vinci Autoroutes, ownsBrand, Arcour]
  • A. Arcop
    Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
  • B. Founex
    Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
  • C. Arcore
    Arcore is a small town in the Lombardy region of northern Italy, known for its historic villas and proximity to Milan.
  • D. Ducrot
    Ducrot is a French surname most notably borne by Auguste-Alexandre Ducrot, a 19th-century French general.
  • E. Shanly
    Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arcour
Triple: [Vinci Autoroutes, ownsBrand, Arcour]
Generated description
Arcour is a French motorway concession company associated with the Vinci Autoroutes network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arcour
Target entity description: Arcour is a French motorway concession company associated with the Vinci Autoroutes network.
  • A. Arcop
    Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
  • B. Founex
    Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
  • C. Arcore
    Arcore is a small town in the Lombardy region of northern Italy, known for its historic villas and proximity to Milan.
  • D. Ducrot
    Ducrot is a French surname most notably borne by Auguste-Alexandre Ducrot, a 19th-century French general.
  • E. Shanly
    Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69d6fa303d4c8190b9f1c3addf7d8b09 completed April 9, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69d6ff301d488190b18f1e02bbf1dada completed April 9, 2026, 1:21 a.m.
Created at: April 6, 2026, 11:28 a.m.