Triple
T28537989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matmid points |
E722219
|
entity |
| Predicate | earnRateMayBe |
P159967
|
FINISHED |
| Object | increased for elite Matmid tiers |
—
|
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: increased for elite Matmid tiers | Statement: [Matmid points, earnRateMayBe, increased for elite Matmid tiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earnRateMayBe Context triple: [Matmid points, earnRateMayBe, increased for elite Matmid tiers]
-
A.
earningRateDependsOn
chosen
Indicates that the rate at which something is earned is determined or influenced by another factor or set of factors.
-
B.
earnOn
Indicates that one entity gains income, profit, or returns as a result of another entity or activity.
-
C.
rate
Indicates the numerical evaluation or assessment assigned by one entity to another based on perceived quality, performance, or value.
-
D.
creditPercentage
Indicates the proportion or share of credit assigned to an entity in relation to a particular outcome, contribution, or transaction.
-
E.
interestRateName
Indicates the specific label or designation used to identify a particular interest rate.
- 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_69f01a5e42348190b1ffbca26e739c84 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64fdc4e2081909ab249c11234a143 |
completed | May 2, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:33 a.m.