Triple
T12912092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuka-Cola |
E308886
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Nuka-Cola Orange |
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 Orange | Statement: [Nuka-Cola, hasVariant, Nuka-Cola Orange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuka-Cola Orange Context triple: [Nuka-Cola, hasVariant, Nuka-Cola Orange]
-
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.
Orange Soda
"Orange Soda" is a breakout hip-hop single by rapper Baby Keem, known for its minimalist production, catchy hook, and viral popularity.
-
C.
Kool-Aid
Kool-Aid is a popular flavored drink mix best known for its brightly colored powdered beverages and the iconic Kool-Aid Man mascot.
-
D.
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.
-
E.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
- 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_69f6d5f1023881909cbfe46a89b3e184 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 5:41 p.m.