Triple
T12975832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinci SA |
E321520
|
entity |
| Predicate | brandName |
P1500
|
FINISHED |
| Object | VINCI |
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 | Statement: [Vinci SA, brandName, VINCI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VINCI Context triple: [Vinci SA, brandName, VINCI]
-
A.
Vinci SA
chosen
Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
-
B.
Eiffage
Eiffage is a major French construction and civil engineering company known for delivering large-scale infrastructure projects such as the Millau Viaduct.
-
C.
Vinci Energies
Vinci Energies is a global engineering and services company specializing in energy, electrical, and information and communication technology solutions across infrastructure, industry, and building sectors.
-
D.
Vinci Construction
Vinci Construction is a major global construction and civil engineering company specializing in large-scale infrastructure and building projects.
-
E.
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.
- 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_69f6cbc277c881909ae77e8a44e06986 |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 9, 2026, 8:37 p.m.