Triple
T1362239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermont College of Fine Arts |
E29121
|
entity |
| Predicate | residencyModel |
P6740
|
FINISHED |
| Object | low-residency |
—
|
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: low-residency | Statement: [Vermont College of Fine Arts, residencyModel, low-residency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residencyModel Context triple: [Vermont College of Fine Arts, residencyModel, low-residency]
-
A.
residencyShow
Indicates a performance arrangement where an artist or group repeatedly presents a show at the same venue over an extended period.
-
B.
residencyLocation
Indicates the place where an entity lives or maintains its primary residence.
-
C.
residencyPattern
chosen
Indicates the typical way an entity resides or occupies a place over time, such as its usual location, duration, or frequency of stay.
-
D.
residence
Indicates that one entity lives at, is based in, or habitually occupies the location represented by the other entity.
-
E.
offersResidencyPrograms
Indicates that an entity provides or makes available formal residency training programs to individuals.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b4ab3c8190ad692e32eee05976 |
completed | March 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69a4bef945c08190a027472fdd695ea5 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:57 p.m.