Triple
T32838575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بحر المتقارب |
E839901
|
entity |
| Predicate | الوزن التام للشطر |
P70576
|
FINISHED |
| Object | فعولن فعولن فعولن فعولن |
—
|
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: فعولن فعولن فعولن فعولن | Statement: [بحر المتقارب, الوزن التام للشطر, فعولن فعولن فعولن فعولن]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الوزن التام للشطر Context triple: [بحر المتقارب, الوزن التام للشطر, فعولن فعولن فعولن فعولن]
-
A.
totalWeight
Indicates the combined weight resulting from summing the weights of all relevant constituent parts or items.
-
B.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
C.
totalEngineWeight
Indicates the combined weight of all engines associated with a given object or system.
-
D.
وزن
chosen
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
E.
wetWeight
Indicates the weight of an object or substance measured while it still contains its natural or added moisture, before any drying.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:16 a.m.