Triple
T4135242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuze Tea |
E85136
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | Lipton Ice Tea |
E297560
|
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: Lipton Ice Tea | Statement: [Fuze Tea, hasCompetitor, Lipton Ice Tea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lipton Ice Tea Context triple: [Fuze Tea, hasCompetitor, Lipton Ice Tea]
-
A.
Lipton
chosen
Lipton is a globally recognized tea brand offering a wide range of tea products, including black, green, and herbal varieties.
-
B.
Nestea
Nestea is a popular ready-to-drink and powdered iced tea beverage brand originally developed and marketed by Nestlé.
-
C.
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.
-
D.
P-Cola
P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
-
E.
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.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af023190608190bcc929c5996b7378 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c75e5c8190acc4ee72cb574432 |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.