Triple
T5933490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danone |
E131990
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Evian |
E312860
|
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: Evian | Statement: [Danone, hasBrand, Evian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evian Context triple: [Danone, hasBrand, Evian]
-
A.
Evian
chosen
Evian is a French brand of mineral water sourced from springs near Évian-les-Bains on the shores of Lake Geneva, known worldwide as a premium bottled water.
-
B.
Vannin
Vannin is the Manx name for the Isle of Man, a self-governing British Crown dependency in the Irish Sea.
-
C.
Vevey
Vevey is a picturesque Swiss town in the canton of Vaud, known for its lakeside setting, association with Charlie Chaplin, and role as the headquarters of Nestlé.
-
D.
Fasquelle
Fasquelle is a French publishing house known for issuing notable literary and scholarly works.
-
E.
Beloeil
Beloeil is a suburban city in southwestern Quebec, Canada, located along the Richelieu River opposite Mont-Saint-Hilaire and forming part of the greater Montreal area.
- 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.