Triple
T38281168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibn al-Bayṭār |
E1022082
|
entity |
| Predicate | sourcesUsed |
P39729
|
FINISHED |
| Object | Greek medical literature |
—
|
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: Greek medical literature | Statement: [Ibn al-Bayṭār, sourcesUsed, Greek medical literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourcesUsed Context triple: [Ibn al-Bayṭār, sourcesUsed, Greek medical literature]
-
A.
usedInSources
Indicates that something is referenced, applied, or employed within one or more information sources.
-
B.
sourcesInclude
Indicates that one entity’s content, data, or information is derived from, references, or incorporates material from another specified source.
-
C.
usedAsSourceIn
chosen
Indicates that something serves as the origin, basis, or input from which another thing is derived, produced, or obtained.
-
D.
usedInSourceType
Indicates that something is utilized or applied within a particular type or category of source.
-
E.
areUsedBy
Indicates that certain entities serve as tools, resources, or means that are utilized or employed by other entities.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 3, 2026, 4:30 p.m.