Triple
T16094957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killam Research Fellowship |
E390457
|
entity |
| Predicate | researchMode |
P121875
|
FINISHED |
| Object | full-time research |
—
|
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: full-time research | Statement: [Killam Research Fellowship, researchMode, full-time research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchMode Context triple: [Killam Research Fellowship, researchMode, full-time research]
-
A.
researchModel
Indicates that an entity systematically investigates, develops, or analyzes a model as part of a research process.
-
B.
researchValue
Indicates that something is considered useful, important, or relevant for research or scholarly investigation.
-
C.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
D.
researchArm
Indicates that an entity is a specific study group or treatment arm within a research or clinical trial design.
-
E.
researchComponent
Indicates that an entity functions as a part or element within a broader research activity, project, or study.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:59 a.m.