Triple
T22245370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plan C |
E549826
|
entity |
| Predicate | premiumMayVaryBy |
P98150
|
FINISHED |
| Object | age |
—
|
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: age | Statement: [Plan C, premiumMayVaryBy, age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premiumMayVaryBy Context triple: [Plan C, premiumMayVaryBy, age]
-
A.
rateVariesBy
chosen
Indicates that the rate of something changes depending on a specified factor, condition, or category.
-
B.
termVariesBy
Indicates that the value or meaning of a term changes depending on a specified factor, such as context, dimension, or condition.
-
C.
premiumBrand
Indicates that one entity is recognized or classified as a high-end, premium-quality brand relative to others.
-
D.
attributeVariesBy
Indicates that a particular attribute can take on different values depending on another variable, context, or condition.
-
E.
promotionIncludes
Indicates that a particular promotion encompasses, covers, or applies to a specified item, service, or condition.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13217c9f88190aa2ce7d644b57739 |
completed | April 28, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:38 p.m.