Triple
T8141814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medallion Qualification Miles |
E190114
|
entity |
| Predicate | rolloverUsedFor |
P80907
|
FINISHED |
| Object | qualifying for status in the following year |
—
|
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: qualifying for status in the following year | Statement: [Medallion Qualification Miles, rolloverUsedFor, qualifying for status in the following year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rolloverUsedFor Context triple: [Medallion Qualification Miles, rolloverUsedFor, qualifying for status in the following year]
-
A.
rolloverFrom
Indicates that something is transferred or carried over from a previous state, period, or source into a new one.
-
B.
usedOver
Indicates that one entity has been utilized, applied, or consumed in relation to another entity, typically as a resource, medium, or tool in a particular context or period.
-
C.
canBeUsedOver
Indicates that one entity is suitable or valid for use in place of, or in relation to, another entity.
-
D.
usedCover
Indicates that one entity employed another entity as a protective or concealing cover in a given context.
-
E.
rollOffFactor
Indicates how quickly the influence or intensity of something decreases as distance or another parameter increases.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4442299881909db56f7475cbb99a |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39d20e78819092ea9e04357be008 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:36 p.m.