Triple
T4134985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KO |
E85131
|
entity |
| Predicate | associatedBrand |
P1500
|
FINISHED |
| Object | Dasani |
E85134
|
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: Dasani | Statement: [KO, associatedBrand, Dasani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dasani Context triple: [KO, associatedBrand, Dasani]
-
A.
Dasani
chosen
Dasani is a bottled water brand owned by The Coca-Cola Company, known for its purified water with added minerals for taste and wide distribution in retail markets.
-
B.
Nuka-Cola
Nuka-Cola is a fictional, highly recognizable soft drink brand in the Fallout video game universe, symbolizing the series’ retro-futuristic, post-apocalyptic setting.
-
C.
Coolaid
Coolaid is a 2016 studio album by American rapper Snoop Dogg that marks a return to his classic West Coast G-funk sound.
-
D.
Club Soda
Club Soda is a well-known live music and performance venue in Montreal, recognized for hosting a wide range of concerts, comedy shows, and cultural events.
-
E.
Nestea
Nestea is a popular ready-to-drink and powdered iced tea beverage brand originally developed and marketed by Nestlé.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af023190608190bcc929c5996b7378 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c75e5c8190acc4ee72cb574432 |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.