Triple
T21209192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Red |
E522673
|
entity |
| Predicate | containsFlavoring |
P125768
|
FINISHED |
| Object | artificial cinnamon flavor |
—
|
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: artificial cinnamon flavor | Statement: [Big Red, containsFlavoring, artificial cinnamon flavor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsFlavoring Context triple: [Big Red, containsFlavoring, artificial cinnamon flavor]
-
A.
isFlavored
Indicates that one entity imparts a particular taste or flavor characteristic to another entity.
-
B.
containsArtificialFlavors
chosen
Indicates that one entity includes or is made with artificial flavoring substances.
-
C.
hasSecondaryFlavor
Indicates that an entity possesses an additional, subordinate flavor characteristic beyond its primary flavor.
-
D.
hasFlavorType
Indicates that an entity possesses or is characterized by a particular type or category of flavor.
-
E.
containsAdditives
Indicates that one entity includes or is composed of additional substances or ingredients beyond its primary or original components.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73436eb4c819082e05caf1ba52672 |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:26 p.m.