Triple
T5933502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danone |
E131990
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object | Danone (Barcelona yogurt company) |
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 (Barcelona yogurt company) | Statement: [Danone, foundedAs, Danone (Barcelona yogurt company)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danone (Barcelona yogurt company) Context triple: [Danone, foundedAs, Danone (Barcelona yogurt company)]
-
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.
Knorr
Knorr is a global food brand known for its soups, seasonings, bouillon, and ready-made meal products.
-
D.
Saputo Inc.
Saputo Inc. is a major Canadian dairy company that produces and distributes a wide range of cheese and other dairy products internationally.
-
E.
Yakult Honsha
Yakult Honsha is a Japanese company best known for producing Yakult probiotic drinks and other dairy-based beverages.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389f6fc881909527b928838ffcdd |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c064d2a4819096085668182cfde1 |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4 p.m.