Triple
T22918623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirinda |
E568796
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Mirinda Orange |
—
|
NE NERFINISHED |
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: Mirinda Orange | Statement: [Mirinda, competesWith, Mirinda Orange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirinda Orange Context triple: [Mirinda, competesWith, Mirinda Orange]
-
A.
Mirinda
chosen
Mirinda is a fruit-flavored carbonated soft drink brand owned and produced by PepsiCo, popular in many countries around the world.
-
B.
Labatt Ice
Labatt Ice is a Canadian ice-brewed lager known for its smooth, slightly stronger taste and wide availability across North America.
-
C.
Labatt Crystal
Labatt Crystal is a Canadian pale lager beer known for its light, crisp taste and long-standing presence in Labatt Brewing Company's lineup.
-
D.
Hawaiian Punch
Hawaiian Punch is a popular fruit-flavored soft drink known for its sweet, tropical taste and bright red color.
-
E.
Labatt Dry
Labatt Dry is a Canadian pale lager beer known for its crisp, clean taste and relatively higher alcohol content, produced by Labatt Brewing Company.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807b254c8190bb84596dcacaa35e |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.