Triple
T6472222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pepsi Blue |
E145981
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Pepsi |
E25303
|
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: Pepsi | Statement: [Pepsi Blue, brand, Pepsi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pepsi Context triple: [Pepsi Blue, brand, Pepsi]
-
A.
Pepsi
chosen
Pepsi is a globally recognized carbonated soft drink brand produced by PepsiCo and known as one of the main competitors to Coca-Cola.
-
B.
Pepsi Max
Pepsi Max is a sugar-free, low-calorie cola soft drink produced by PepsiCo as an alternative to regular Pepsi.
-
C.
Coca-Cola
Coca-Cola is a globally recognized carbonated soft drink, known for its distinctive cola flavor and iconic red-and-white branding.
-
D.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
-
E.
Chero-Cola
Chero-Cola was the early 20th-century soft drink brand that later evolved into the better-known RC Cola.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a3188488190a1b7452ede91ba5e |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eeb127248190bbee7a9f69c2b980 |
completed | March 28, 2026, 3:07 p.m. |
Created at: March 22, 2026, 4:50 p.m.