Triple
T19695745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnold Palmer (beverage) |
E472953
|
entity |
| Predicate | alternativeRatio |
P136958
|
FINISHED |
| Object | more iced tea than lemonade |
—
|
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: more iced tea than lemonade | Statement: [Arnold Palmer (beverage), alternativeRatio, more iced tea than lemonade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeRatio Context triple: [Arnold Palmer (beverage), alternativeRatio, more iced tea than lemonade]
-
A.
definesRatio
Indicates that one entity specifies or establishes the proportional relationship (ratio) between two or more quantities or entities.
-
B.
representationRatio
Indicates the proportional relationship between how much one entity represents, depicts, or stands in for another relative to some whole or reference amount.
-
C.
radiusRatio
Indicates the proportional relationship between one radius and another, typically expressing how large one is relative to the other.
-
D.
previousRatio
Indicates the proportional relationship between two quantities as they existed in a prior or earlier state or time period.
-
E.
النسب
Indicates a genealogical or familial relationship linking one entity to another through lineage or descent.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642147c3c8190a4c788e4bb48fe11 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.