Triple
T11115659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicorette |
E262877
|
entity |
| Predicate | hasFlavorVariants |
P53445
|
FINISHED |
| Object | mint flavors |
—
|
LITERAL 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: mint flavors | Statement: [Nicorette, hasFlavorVariants, mint flavors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlavorVariants Context triple: [Nicorette, hasFlavorVariants, mint flavors]
-
A.
hasVarietyOfFlavors
chosen
Indicates that one entity offers or contains multiple distinct flavors or taste options.
-
B.
isOfficialFlavorOf
Indicates that one item is formally recognized or designated as an official flavor associated with another entity (such as a brand, product line, or event).
-
C.
hasVarietyOf
Indicates that an entity possesses or offers multiple different types, forms, or versions of something.
-
D.
hasVariant
Indicates that one entity exists as an alternative form, version, or variation of another entity.
-
E.
hasCommercialVariant
Indicates that an entity has a related version that is produced, marketed, or sold commercially.
- F. None of above.
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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa7254c8190abce35696ad2be03 |
completed | April 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.