Triple

T16367124
Position Surface form Disambiguated ID Type / Status
Subject Rio–Antirrio Bridge E397464 entity
Predicate mainContractor P7138 FINISHED
Object VINCI Construction E1012380 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 Construction | Statement: [Rio–Antirrio Bridge, mainContractor, VINCI Construction]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VINCI Construction
Context triple: [Rio–Antirrio Bridge, mainContractor, VINCI Construction]
  • A. Eiffage
    Eiffage is a major French construction and civil engineering company known for delivering large-scale infrastructure projects such as the Millau Viaduct.
  • B. Vinci Construction chosen
    Vinci Construction is a major global construction and civil engineering company specializing in large-scale infrastructure and building projects.
  • C. Strabag
    Strabag is a major European construction company based in Austria, known for large-scale infrastructure, civil engineering, and building projects across numerous countries.
  • D. Vinci SA
    Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
  • E. Longvic
    Longvic is a commune in eastern France’s Côte-d’Or department, forming part of the suburban area just southeast of the city of Dijon.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3de3d88190a42cd708746c8bd0 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc29f088190ba5d69ff3c12a251 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.