Triple
T694207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World of Coca-Cola |
E13859
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Coca-Cola
Coca-Cola is a globally recognized carbonated soft drink brand and one of the most iconic consumer products in the world.
|
E14062
|
NE FINISHED |
How this triple was built (4 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: Coca-Cola | Statement: [World of Coca-Cola, brand, Coca-Cola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coca-Cola Context triple: [World of Coca-Cola, brand, Coca-Cola]
-
A.
The Coca-Cola Company
The Coca-Cola Company is a multinational beverage corporation best known as the producer of the iconic soft drink Coca-Cola and a wide portfolio of nonalcoholic beverages sold worldwide.
-
B.
Pepsi
Pepsi is a globally recognized carbonated soft drink brand produced by PepsiCo and known as one of the main competitors to Coca-Cola.
-
C.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
-
D.
Nestlé
Nestlé is a Swiss multinational food and beverage conglomerate and one of the world’s largest consumer goods companies.
-
E.
Coca-Cola Zero Sugar
Coca-Cola Zero Sugar is a no-calorie soft drink introduced by The Coca-Cola Company as a sugar-free alternative that closely mimics the taste of original Coca-Cola.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Coca-Cola Triple: [World of Coca-Cola, brand, Coca-Cola]
Generated description
Coca-Cola is a globally recognized carbonated soft drink brand and one of the most iconic consumer products in the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coca-Cola Target entity description: Coca-Cola is a globally recognized carbonated soft drink brand and one of the most iconic consumer products in the world.
-
A.
The Coca-Cola Company
chosen
The Coca-Cola Company is a multinational beverage corporation best known as the producer of the iconic soft drink Coca-Cola and a wide portfolio of nonalcoholic beverages sold worldwide.
-
B.
Pepsi
Pepsi is a globally recognized carbonated soft drink brand produced by PepsiCo and known as one of the main competitors to Coca-Cola.
-
C.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
-
D.
Nestlé
Nestlé is a Swiss multinational food and beverage conglomerate and one of the world’s largest consumer goods companies.
-
E.
Coca-Cola Zero Sugar
Coca-Cola Zero Sugar is a no-calorie soft drink introduced by The Coca-Cola Company as a sugar-free alternative that closely mimics the taste of original Coca-Cola.
- F. None of above.
Provenance (5 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c3f39c8190a3014df428817492 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654dace34819094c74f7c6ff4716c |
completed | March 3, 2026, 3:26 a.m. |
| NEDg | Description generation | batch_69a65a8040f08190a60f3f0e80deebe5 |
completed | March 3, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a65aea47e88190b3a14dc7f8801445 |
completed | March 3, 2026, 3:52 a.m. |
Created at: March 1, 2026, 7:36 p.m.