Triple
T38281167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibn al-Bayṭār |
E1022082
|
entity |
| Predicate | numberOfSubstancesDescribedInAl-Jami |
—
|
GENERATED |
| Object | more than 1400 |
—
|
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: numberOfSubstancesDescribedInAl-Jami Context triple: [Ibn al-Bayṭār, numberOfSubstancesDescribedInAl-Jami, more than 1400]
-
A.
initialNumberOfChemicalsListed
Indicates the original count of distinct chemicals that were recorded or specified at the start of a process or listing.
-
B.
addsRegulatedSubstances
Indicates that one entity introduces or incorporates substances that are subject to regulation into another entity or context.
-
C.
featuresSubstance
Indicates that one entity contains, includes, or is characterized by the presence of a particular substance.
-
D.
alkaloidType
Indicates that one entity is classified as a specific type or category of alkaloid in relation to another entity.
-
E.
containsAlkaloids
Indicates that a substance, organism, or material has alkaloid compounds present within it.
- F. None of above. chosen
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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.