Triple
T12965864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BodyArmor |
E321259
|
entity |
| Predicate | hasFlavorType |
P107732
|
FINISHED |
| Object | fruit-flavored |
—
|
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: fruit-flavored | Statement: [BodyArmor, hasFlavorType, fruit-flavored]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlavorType Context triple: [BodyArmor, hasFlavorType, fruit-flavored]
-
A.
hasSecondaryFlavor
Indicates that an entity possesses an additional, subordinate flavor characteristic beyond its primary flavor.
-
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.
hasDishType
Indicates that an item (such as a food or menu entry) is classified as belonging to a particular type of dish (e.g., appetizer, main course, dessert).
-
D.
hasFruitType
Indicates that an entity possesses or is associated with a specific type or category of fruit.
-
E.
hasVarietyOfFlavors
Indicates that one entity offers or contains multiple distinct flavors or taste options.
- F. None of above. chosen
Provenance (4 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e5811f481908178fac6d2e0efcd |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:28 p.m.