Triple
T22526846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | دعاء الكروان |
E556926
|
entity |
| Predicate | الزمن التقريبي للفيلم |
P36872
|
FINISHED |
| Object | حوالي 115 دقيقة |
—
|
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: حوالي 115 دقيقة | Statement: [دعاء الكروان, الزمن التقريبي للفيلم, حوالي 115 دقيقة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الزمن التقريبي للفيلم Context triple: [دعاء الكروان, الزمن التقريبي للفيلم, حوالي 115 دقيقة]
-
A.
filmRuntimeApprox
chosen
Indicates an approximate or estimated duration of a film, rather than its exact runtime.
-
B.
filmLength
Indicates the duration or running time of a film, typically measured in units such as minutes.
-
C.
settingTimeRelativeToFilms
Indicates the temporal relationship of one film’s setting relative to the settings of other films (e.g., earlier, later, or at the same time).
-
D.
זמנם
Indicates a relationship involving the time allotted to, belonging to, or associated with certain entities (e.g., “their time”).
-
E.
timeframeApproximate
Indicates that the time period associated with an event or relation is not exact but only roughly or loosely specified.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:51 p.m.