Triple
T35735934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ḥubaysh ibn al-Ḥasan |
E1032886
|
entity |
| Predicate | typeOfTranslator |
—
|
GENERATED |
| Object | medical translator |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTranslator Context triple: [Ḥubaysh ibn al-Ḥasan, typeOfTranslator, medical translator]
-
A.
typeOfTranslation
Indicates that one entity is a specific kind or category of translation in relation to another entity.
-
B.
givenByTranslatorTo
Indicates a transfer or provision of something from a translator to another party.
-
C.
transducerType
Indicates the specific kind or category of transducer associated with an entity.
-
D.
sourceTypeTranslated
Indicates that something specifies or records the translated form of a source’s type.
-
E.
associatedWithTranslator
chosen
Indicates a relationship where an entity is linked or connected to a translator, typically as the translator of its content or language.
- F. None of above.
Provenance (1 batch)
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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.