Triple
T36737293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asclepiadean meter |
E907516
|
entity |
| Predicate | typicalLineLength |
—
|
GENERATED |
| Object | medium-length lyric line |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLineLength Context triple: [Asclepiadean meter, typicalLineLength, medium-length lyric line]
-
A.
lineLengthType
Indicates the type or category used to characterize the length of a line.
-
B.
hasLineLength
Indicates that one entity has, is characterized by, or is associated with a specific line length value.
-
C.
typicalLength
chosen
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
D.
lineLengthServed
Indicates the length of a line that has been provided or delivered in a given context.
-
E.
supportsLineLengthControl
Indicates that an entity provides functionality to configure or enforce limits on the length of lines (e.g., in text or code).
- F. None of above.
Provenance (1 batch)
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_69f76e75aa6881909b844d00a3888ee5 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.