Triple
T32838576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بحر المتقارب |
E839901
|
entity |
| Predicate | الوزن التام للبيت |
P175848
|
FINISHED |
| Object | فعولن فعولن فعولن فعولن / 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 / فعولن فعولن فعولن فعولن | Statement: [بحر المتقارب, الوزن التام للبيت, فعولن فعولن فعولن فعولن / فعولن فعولن فعولن فعولن]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الوزن التام للبيت Context triple: [بحر المتقارب, الوزن التام للبيت, فعولن فعولن فعولن فعولن / فعولن فعولن فعولن فعولن]
-
A.
totalWeight
Indicates the combined weight resulting from summing the weights of all relevant constituent parts or items.
-
B.
domeWeight
Indicates the weight or mass of a dome structure associated with an entity.
-
C.
totalEngineWeight
Indicates the combined weight of all engines associated with a given object or system.
-
D.
bodyWeightWithBattery
Indicates the total weight of an object measured while its battery is installed.
-
E.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
- 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_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:16 a.m.