Triple
T20930953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabic mutaqārib metre |
E515467
|
entity |
| Predicate | hasHemistichPattern |
P62939
|
FINISHED |
| Object | faʿūlun faʿūlun faʿūlun faʿūl (per hemistich) |
—
|
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: faʿūlun faʿūlun faʿūlun faʿūl (per hemistich) | Statement: [Arabic mutaqārib metre, hasHemistichPattern, faʿūlun faʿūlun faʿūlun faʿūl (per hemistich)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHemistichPattern Context triple: [Arabic mutaqārib metre, hasHemistichPattern, faʿūlun faʿūlun faʿūlun faʿūl (per hemistich)]
-
A.
hasRhymeSchemeFeature
Indicates that a poetic work exhibits a specific characteristic or pattern related to its rhyme scheme.
-
B.
hasStressPattern
Indicates that an entity (such as a word or phrase) follows a particular arrangement of stressed and unstressed units (e.g., syllables) in its pronunciation.
-
C.
hasRhymeStyle
Indicates that two linguistic elements share the same pattern or style of rhyming.
-
D.
rhymeScheme
Indicates the pattern of end sounds in a sequence of lines, showing which lines rhyme with each other.
-
E.
typicalFootCountPerHemistich
chosen
Indicates the usual number of metrical feet found in each hemistich (half-line) of a verse.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6557e4881909ce932c3f538304a |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:49 p.m.