Triple
T912643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banting Postdoctoral Fellowships |
E19695
|
entity |
| Predicate | programLevel |
P21470
|
FINISHED |
| Object | national |
—
|
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: national | Statement: [Banting Postdoctoral Fellowships, programLevel, national]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programLevel Context triple: [Banting Postdoctoral Fellowships, programLevel, national]
-
A.
programType
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
B.
program
Indicates that an entity creates, writes, or develops a computer program or software application.
-
C.
programOutcome
Indicates the resulting state, effect, or consequence produced by executing or completing a program.
-
D.
developmentProgram
Indicates a structured initiative or plan designed to improve, advance, or build the capabilities, resources, or conditions of a target group, system, or area over time.
-
E.
classLevel
Indicates the academic or hierarchical level associated with a particular class within an educational or organizational structure.
- 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_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. |
| PDg | Predicate description generation | batch_69a4b2f4e3fc81908c8a2d1fbef9c5d2 |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:39 p.m.