Triple
T30818417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الجامع الصحيح |
E784848
|
entity |
| Predicate | مروي عن طريق |
P92167
|
FINISHED |
| Object | حماد بن شاكر |
—
|
NE NERFINISHED |
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: حماد بن شاكر | Statement: [الجامع الصحيح, مروي عن طريق, حماد بن شاكر]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مروي عن طريق Context triple: [الجامع الصحيح, مروي عن طريق, حماد بن شاكر]
-
A.
מנוהל על ידי
Indicates that one entity is managed, directed, or administered by another entity.
-
B.
وسيلة
Indicates that one entity serves as a means, instrument, or intermediary through which another entity achieves or performs something.
-
C.
routeOf
Indicates that one entity is the path, course, or trajectory taken or followed by another entity (such as a vehicle, shipment, or signal).
-
D.
waterwayThrough
Indicates that a waterway (such as a river or canal) passes through or traverses a specified geographic area or feature.
-
E.
מובאים_על_ידי
chosen
Indicates that something or someone is brought, presented, or conveyed by a particular agent or source.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6906ad50481909a700664e0b70fb0 |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:44 p.m.