Triple
T7312234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dynasty Flyer |
E168119
|
entity |
| Predicate | accrualUnit |
P76244
|
FINISHED |
| Object | miles |
—
|
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: miles | Statement: [Dynasty Flyer, accrualUnit, miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accrualUnit Context triple: [Dynasty Flyer, accrualUnit, miles]
-
A.
accrualMethod
Indicates the method or basis by which something (such as interest, revenue, or benefits) is accumulated or recognized over time.
-
B.
maximumAccrualPeriod
Indicates the longest time span over which something (such as interest, benefits, or rights) can accumulate before it stops accruing.
-
C.
monetaryUnitOfAccount
Indicates that something serves as the standard unit in which the value of goods, services, and financial transactions is measured and recorded.
-
D.
scoringUnit
Indicates that one entity functions as a unit or component responsible for scoring or assigning scores to another entity.
-
E.
unitInCubanAccounting
Indicates that a quantity or value is expressed using the accounting units and standards specific to the Cuban accounting system.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ec00fef081909cb9768a70cabd80 |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e7705f4881909793071dee50c557 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb88a2648190acc79eeee8733705 |
completed | March 27, 2026, 8:41 p.m. |
Created at: March 27, 2026, 3:02 p.m.