Triple
T12975661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinci Airports |
E321516
|
entity |
| Predicate | subsidiaryOf |
P254
|
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 Airports, subsidiaryOf, Vinci Concessions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinci Concessions Context triple: [Vinci Airports, subsidiaryOf, 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.
Vinci Construction
Vinci Construction is a major global construction and civil engineering company specializing in large-scale infrastructure and building projects.
-
C.
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.
-
D.
Nentico
Nentico is an alternative name for the Nanticoke, a Native American people historically located in the Mid-Atlantic region of the United States.
-
E.
FLC Group
FLC Group is a Vietnamese multi-industry conglomerate known for its investments in real estate, hospitality, aviation, and other sectors.
- 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_69f6c0f702fc8190936a7dd292a675f8 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 8:37 p.m.