Triple
T22919516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RC Ten |
E568820
|
entity |
| Predicate | containsLess |
P147314
|
FINISHED |
| Object | sugar than original RC Cola |
—
|
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: sugar than original RC Cola | Statement: [RC Ten, containsLess, sugar than original RC Cola]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsLess Context triple: [RC Ten, containsLess, sugar than original RC Cola]
-
A.
variesLessThan
Indicates that the degree or amount of change in one quantity is smaller than the degree or amount of change in another quantity.
-
B.
smallerThan
Indicates that one entity has a strictly lesser size, dimension, or magnitude than another entity.
-
C.
lessExclusiveThan
Indicates that one entity has a broader or more inclusive scope, membership, or applicability than another, which is more exclusive.
-
D.
meetsAtLeast
Indicates that one entity encounters or comes into contact with another entity at least a specified minimum number of times or to a minimum required degree.
-
E.
hasSmallerAmountThan
chosen
Indicates that the quantity or amount associated with one entity is less than the quantity or amount associated with another entity.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d316188190901d9356c07110e3 |
completed | April 29, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.