Triple
T15923163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evian Resort |
E386141
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Danone Group |
E131990
|
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: Danone Group | Statement: [Evian Resort, ownedBy, Danone Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danone Group Context triple: [Evian Resort, ownedBy, Danone Group]
-
A.
Danone
chosen
Danone is a multinational French food-products corporation best known for its dairy, plant-based, and bottled water brands.
-
B.
Nestlé
Nestlé is a Swiss multinational food and beverage conglomerate and one of the world’s largest consumer goods companies.
-
C.
FrieslandCampina
FrieslandCampina is a large Dutch multinational dairy cooperative that produces and markets a wide range of dairy products worldwide.
-
D.
National Dairy Products Corporation
National Dairy Products Corporation was a major American dairy and food processing company that later became known as Kraft Foods, one of the world’s largest food and beverage conglomerates.
-
E.
Saputo Inc.
Saputo Inc. is a major Canadian dairy company that produces and distributes a wide range of cheese and other dairy products internationally.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156832a248190bed479bf835a469c |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf11fd1481909f460cfa4485d3e3 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:52 a.m.