Triple
T22174740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pulaski Technical College |
E548016
|
entity |
| Predicate | durationOfPrograms |
P24633
|
FINISHED |
| Object | two years for typical associate programs |
—
|
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: two years for typical associate programs | Statement: [Pulaski Technical College, durationOfPrograms, two years for typical associate programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: durationOfPrograms Context triple: [Pulaski Technical College, durationOfPrograms, two years for typical associate programs]
-
A.
programLength
chosen
Indicates the duration or total length of a program, typically measured in time or size.
-
B.
televisionSeriesRuntimeCharacteristic
Indicates a relationship where a television series is associated with a specific runtime-related characteristic, such as typical episode length or overall duration pattern.
-
C.
targetAudienceOfPrograms
Indicates that a particular group or entity is the intended audience or recipient of certain programs.
-
D.
typicalViewingTime
Indicates the usual or most common amount of time an entity is viewed or watched under normal circumstances.
-
E.
timePeriodOfTelevisionSeries
Indicates the time span or era during which a television series is set or takes place.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6b755c81909e9bd2a588c065b3 |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.