Triple
T5057513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polar Park |
E113938
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Polar Beverages |
E489642
|
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: Polar Beverages | Statement: [Polar Park, sponsor, Polar Beverages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polar Beverages Context triple: [Polar Park, sponsor, Polar Beverages]
-
A.
Polar Beverages
chosen
Polar Beverages is a long-established, family-owned American beverage company best known for its sparkling seltzers, soft drinks, and mixers, particularly in the New England region.
-
B.
Innocent Drinks
Innocent Drinks is a UK-based beverage company best known for its fruit smoothies, juices, and health-focused drinks made with natural ingredients.
-
C.
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.
-
D.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
-
E.
Schweppes
Schweppes is a historic beverage brand best known for its carbonated soft drinks and tonic waters, now owned and marketed in many regions by The Coca-Cola Company.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7450312881908d4e3576ca65f7fb |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb102bb348190b235e4adb7a3f88b |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:38 p.m.