Triple
T19691863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V8 Energy |
E472852
|
entity |
| Predicate | associatedBrand |
P1500
|
FINISHED |
| Object | V8 V-Fusion |
—
|
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: V8 V-Fusion | Statement: [V8 Energy, associatedBrand, V8 V-Fusion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: V8 V-Fusion Context triple: [V8 Energy, associatedBrand, V8 V-Fusion]
-
A.
V8 V-Fusion
chosen
V8 V-Fusion is a line of juice beverages that blend vegetable and fruit juices to provide a flavorful drink with added nutritional benefits.
-
B.
V80
V80 is a model of onshore wind turbine produced by Vestas, widely used in commercial wind power projects.
-
C.
V8 Energy
V8 Energy is a line of energy drinks made by V8 that combines fruit and vegetable juices with added caffeine and vitamins for a low-calorie energy boost.
-
D.
Vectron
Vectron is a family of modular electric and diesel-electric locomotives developed by Siemens for versatile passenger and freight operations across European rail networks.
-
E.
Vtek
Vtek is a music producer known for working with the Nigerian singer Empress.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64210cddc8190836faa2996a44457 |
completed | April 20, 2026, 3:11 p.m. |
Created at: April 10, 2026, 1:46 p.m.