Triple
T3845961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coca-Cola Refreshments |
E93569
|
entity |
| Predicate | brandManaged |
P42952
|
FINISHED |
| Object | Fanta |
E89447
|
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: Fanta | Statement: [Coca-Cola Refreshments, brandManaged, Fanta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fanta Context triple: [Coca-Cola Refreshments, brandManaged, Fanta]
-
A.
Fanta
chosen
Fanta is a globally popular fruit-flavored soft drink brand known for its bright colors and wide variety of flavors.
-
B.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
-
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.
Gatorade
Gatorade is a popular sports drink brand owned by PepsiCo, widely used by athletes and closely associated with professional sports.
-
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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb77a488190be7fc2a1211f1f2d |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b504122cb08190ba97ce14e8d891fc |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:18 p.m.