Triple
T25843613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صاد |
E651003
|
entity |
| Predicate | ترتيب |
P2362
|
FINISHED |
| Object | الحرف الرابع عشر في الأبجدية العربية |
—
|
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: الحرف الرابع عشر في الأبجدية العربية | Statement: [صاد, ترتيب, الحرف الرابع عشر في الأبجدية العربية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ترتيب Context triple: [صاد, ترتيب, الحرف الرابع عشر في الأبجدية العربية]
-
A.
arrangement
chosen
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
-
B.
arranges
Indicates that one entity organizes, coordinates, or puts in order some event, objects, or circumstances involving another entity.
-
C.
orden
Indicates that one entity issues, gives, or establishes an order, command, or directive concerning another entity or situation.
-
D.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
E.
orderedToward
Indicates that one entity is arranged, directed, or positioned in the direction of another entity or reference point.
- 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6023662a48190b8eb77eebc225c36 |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 7:51 a.m.