Triple
T20930925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabic mutaqārib metre |
E515467
|
entity |
| Predicate | hasFootPatternVariant |
P141726
|
FINISHED |
| Object | faʿūlun faʿūlun faʿūlun faʿūlun |
—
|
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 faʿūlun | Statement: [Arabic mutaqārib metre, hasFootPatternVariant, faʿūlun faʿūlun faʿūlun faʿūlun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFootPatternVariant Context triple: [Arabic mutaqārib metre, hasFootPatternVariant, faʿūlun faʿūlun faʿūlun faʿūlun]
-
A.
hasFootName
Indicates that an entity has a foot (or feet) identified by a specific name.
-
B.
footType
Indicates the specific kind or classification of feet that an entity possesses or is characterized by.
-
C.
colorOfFoot
Indicates the specific color attribute associated with a foot.
-
D.
hasHeelType
Indicates that an item (typically footwear) possesses a specific type or style of heel.
-
E.
hasStandardToeCount
Indicates that an entity possesses the typical or expected number of toes for its kind.
- 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_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. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:49 p.m.