Triple
T12912088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuka-Cola |
E308886
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Nuka-Cola Cherry |
E308886
|
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: Nuka-Cola Cherry | Statement: [Nuka-Cola, hasVariant, Nuka-Cola Cherry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuka-Cola Cherry Context triple: [Nuka-Cola, hasVariant, Nuka-Cola Cherry]
-
A.
Nuka-Cola
chosen
Nuka-Cola is a fictional, highly recognizable soft drink brand in the Fallout video game universe, symbolizing the series’ retro-futuristic, post-apocalyptic setting.
-
B.
Cherry Coke
Cherry Coke is a cherry-flavored soft drink produced by The Coca-Cola Company as a variation of its classic cola.
-
C.
Pepsi Max Cherry
Pepsi Max Cherry is a cherry-flavored, sugar-free cola variant of Pepsi Max marketed as a low-calorie soft drink.
-
D.
Chero-Cola
Chero-Cola was the early 20th-century soft drink brand that later evolved into the better-known RC Cola.
-
E.
Mountain Dew
Mountain Dew is a popular citrus-flavored soft drink brand known for its high caffeine content and association with youth and extreme sports.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719f96248190b746f9d4a468560c |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af5df0408190a8fe83cdd91e38c9 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:41 p.m.