Triple
T14804021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garland Junior College |
E347982
|
entity |
| Predicate | offeredProgramDuration |
P24633
|
FINISHED |
| Object | 2 years |
—
|
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: 2 years | Statement: [Garland Junior College, offeredProgramDuration, 2 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offeredProgramDuration Context triple: [Garland Junior College, offeredProgramDuration, 2 years]
-
A.
programLength
chosen
Indicates the duration or total length of a program, typically measured in time or size.
-
B.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
C.
offersDuration
Indicates that an entity provides or specifies a length of time for which something (such as a service, offer, or condition) is available or valid.
-
D.
hasCourseLength
Indicates that an entity (such as a course) is associated with a specific duration or length.
-
E.
possibleDuration
Indicates the range or specific length of time that an action, event, or state can last or is allowed to last.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:34 a.m.