Triple
T912644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banting Postdoctoral Fellowships |
E19695
|
entity |
| Predicate | disciplinaryCoverage |
P18353
|
FINISHED |
| Object | multidisciplinary |
—
|
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: multidisciplinary | Statement: [Banting Postdoctoral Fellowships, disciplinaryCoverage, multidisciplinary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disciplinaryCoverage Context triple: [Banting Postdoctoral Fellowships, disciplinaryCoverage, multidisciplinary]
-
A.
isMultidisciplinary
chosen
Indicates that something involves or integrates multiple distinct academic or professional disciplines in its approach or composition.
-
B.
publicationScope
Indicates the extent, audience, or boundaries within which something (such as a work, data, or information) is made publicly available or distributed.
-
C.
disciplinaryMethod
Indicates a method or approach used to discipline, correct, or control another party’s behavior.
-
D.
subjectMatterScope
Indicates the thematic or topical domain that an action, statement, or resource pertains to or falls within.
-
E.
academicFocus
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2f605bc8190a5245aa2ca55cf43 |
completed | March 1, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69a4b2918ea881908698020b995a8eae |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:39 p.m.