Triple
T5548968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Pepsi |
E145477
|
entity |
| Predicate | sweetenerType |
P65313
|
FINISHED |
| Object | high fructose corn syrup |
—
|
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: high fructose corn syrup | Statement: [Crystal Pepsi, sweetenerType, high fructose corn syrup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sweetenerType Context triple: [Crystal Pepsi, sweetenerType, high fructose corn syrup]
-
A.
sweetenerVariant
Indicates that one sweetening agent is a specific type, version, or alternative form of another sweetening agent.
-
B.
sweetening
Indicates the action or process of making something taste sweeter, often by adding a sweet substance.
-
C.
isSugarFree
Indicates that something does not contain sugar or has been formulated without added sugar.
-
D.
typicalSweetnessLevel
Indicates the usual or characteristic degree of sweetness associated with something.
-
E.
hasSugarFreeVariant
Indicates that an item has a corresponding version or option that is formulated without sugar.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe143ec8190bb67d2530c92a419 |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f051e508190b3886d87b4afdd0b |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:35 p.m.