Triple
T3850600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VINCI Airports |
E85285
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object | VINCI SA |
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 SA | Statement: [VINCI Airports, parentOrganization, VINCI SA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VINCI SA Context triple: [VINCI Airports, parentOrganization, VINCI SA]
-
A.
Vinci SA
chosen
Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
-
B.
Leonardo S.p.A.
Leonardo S.p.A. is a major Italian aerospace, defense, and security company that designs and manufactures military aircraft, helicopters, electronics, and related systems.
-
C.
Vinci
Vinci is a small Tuscan town in Italy best known as the birthplace of Renaissance polymath Leonardo da Vinci.
-
D.
Vinci
Vinci is a major French concessions and construction company and one of the largest infrastructure and engineering groups in the world.
-
E.
Tractebel
Tractebel is an international engineering and consulting company specializing in energy, water, and infrastructure projects.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcf67788190975105131baabc4b |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b504172d58819089d19f5cb7b803ec |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.