Triple
T7511750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vollum Institute |
E177536
|
entity |
| Predicate | hasPostdoctoralResearchers |
P46308
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Vollum Institute, hasPostdoctoralResearchers, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPostdoctoralResearchers Context triple: [Vollum Institute, hasPostdoctoralResearchers, yes]
-
A.
hasDoctoralStudents
Indicates that a person serves as the doctoral advisor or supervisor of one or more doctoral students.
-
B.
postdoctoralAdvisor
Indicates that one person served as the postdoctoral research advisor or mentor to another person.
-
C.
hasResearcher
Indicates that an entity is associated with or linked to a specific researcher responsible for work, study, or investigation related to it.
-
D.
hasScientificStaff
chosen
Indicates that an entity employs or is associated with one or more individuals serving in scientific or research-related roles.
-
E.
hasDoctoralDegreeFrom
Indicates that an individual holds a doctoral-level academic degree that was awarded by a specified institution.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5d33960819089a10c1149abf4b2 |
completed | March 27, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:45 p.m.