Triple
T32838573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بحر المتقارب |
E839901
|
entity |
| Predicate | عدد التفعيلات في الشطر التام |
P175168
|
FINISHED |
| Object | أربع تفعيلات |
—
|
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: أربع تفعيلات | Statement: [بحر المتقارب, عدد التفعيلات في الشطر التام, أربع تفعيلات]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: عدد التفعيلات في الشطر التام Context triple: [بحر المتقارب, عدد التفعيلات في الشطر التام, أربع تفعيلات]
-
A.
numberOfActs
Indicates the total count of discrete acts or actions associated with a given entity or event.
-
B.
numberOfTractates
Indicates the total count of tractates associated with a given entity or collection.
-
C.
numberOfSuffetes
Indicates the relationship specifying how many suffetes (joint magistrates or chief officials) are associated with a given entity or context.
-
D.
numberOfCompleteSweeps
Indicates the total count of times a process or operation has fully traversed or cycled through its entire scope.
-
E.
turnsIn
Indicates that an entity submits or hands over something, typically work or an item, to another party or authority.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6ce6c76bc8190b865343d3f5810c9 |
completed | May 3, 2026, 4:26 a.m. |
Created at: May 1, 2026, 1:16 a.m.