Triple
T19568308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polar Beverages |
E489642
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Polar Cola |
—
|
NE NERFINISHED |
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: Polar Cola | Statement: [Polar Beverages, hasBrand, Polar Cola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polar Cola Context triple: [Polar Beverages, hasBrand, Polar Cola]
-
A.
Polar Diet Cola
chosen
Polar Diet Cola is a zero-calorie cola-flavored soft drink produced by the American beverage company Polar Beverages.
-
B.
Polar Seltzer’ade
Polar Seltzer’ade is a line of naturally flavored, calorie-free sparkling waters from Polar Beverages that mimic lemonade-style flavors without sugar or sweeteners.
-
C.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
-
D.
Buzz Cola
Buzz Cola is a fictional soft drink brand from the animated television series "The Simpsons," often depicted as a popular but comically unhealthy beverage in Springfield.
-
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 (2 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f79adf08190b1c0b008f30b0acd |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.