Triple

T10249478
Position Surface form Disambiguated ID Type / Status
Subject Vinci Autoroutes E240301 entity
Predicate partOf P40 FINISHED
Object Vinci Concessions E321520 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: Vinci Concessions | Statement: [Vinci Autoroutes, partOf, Vinci Concessions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinci Concessions
Context triple: [Vinci Autoroutes, partOf, Vinci Concessions]
  • A. Vinci SA chosen
    Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
  • B. Vingroup
    Vingroup is one of Vietnam’s largest private conglomerates, known for its extensive investments in real estate, retail, technology, and automotive manufacturing through brands like Vinhomes and VinFast.
  • C. Nentico
    Nentico is an alternative name for the Nanticoke, a Native American people historically located in the Mid-Atlantic region of the United States.
  • D. FLC Group
    FLC Group is a Vietnamese multi-industry conglomerate known for its investments in real estate, hospitality, aviation, and other sectors.
  • E. Turnpike Enterprise
    Turnpike Enterprise is the division of the Florida Department of Transportation responsible for operating, maintaining, and improving the state’s toll road system.
  • 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.