Triple
T8141810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medallion Qualification Miles |
E190114
|
entity |
| Predicate | resetFrequency |
P55256
|
FINISHED |
| Object | annually |
—
|
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: annually | Statement: [Medallion Qualification Miles, resetFrequency, annually]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resetFrequency Context triple: [Medallion Qualification Miles, resetFrequency, annually]
-
A.
laterFrequency
Indicates that one event, state, or action occurs with a lower frequency than another in a temporal sequence.
-
B.
fireFrequency
Indicates how often fire occurs or is expected to occur within a given area or time period.
-
C.
replayFrequency
Indicates how often an event, action, or sequence is repeated or played back over a given period.
-
D.
interestRateResetFrequency
Indicates how often the applicable interest rate is recalculated or adjusted over the life of a financial agreement.
-
E.
serviceFrequencyType
chosen
Indicates how often a service occurs or is scheduled within a given time period.
- 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_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. |
Created at: March 30, 2026, 5:36 p.m.