Triple
T13131509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibn al-Baytar |
E311974
|
entity |
| Predicate | numberOfDescribedDrugs |
P108228
|
FINISHED |
| Object | more than 1400 |
—
|
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: more than 1400 | Statement: [Ibn al-Baytar, numberOfDescribedDrugs, more than 1400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDescribedDrugs Context triple: [Ibn al-Baytar, numberOfDescribedDrugs, more than 1400]
-
A.
evaluatedDrug
Indicates that a particular drug has been assessed or tested, typically in the context of a study, experiment, or evaluation process.
-
B.
developedDrugFor
Indicates that one entity created or formulated a drug intended to treat or address a medical condition associated with another entity.
-
C.
coDeveloperDrug
Indicates a relationship where two or more entities jointly participate in the development of a drug.
-
D.
numberDescribedAs
Indicates that a number is characterized, labeled, or referred to using a particular description or phrase.
-
E.
hasDrugBankID
Indicates that an entity is associated with a specific identifier from the DrugBank database.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b27a8c81909a92ab7be5d3a7e9 |
completed | April 10, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:08 p.m.