Triple
T774393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truckee Meadows Community College |
E16354
|
entity |
| Predicate | hasProgramMode |
P12713
|
FINISHED |
| Object | on-campus instruction |
—
|
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: on-campus instruction | Statement: [Truckee Meadows Community College, hasProgramMode, on-campus instruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProgramMode Context triple: [Truckee Meadows Community College, hasProgramMode, on-campus instruction]
-
A.
hasWorkingMode
chosen
Indicates that an entity operates under or supports a particular mode or configuration of functioning.
-
B.
hasProgramme
Indicates that an entity is associated with or offers a particular programme (such as a course of study, plan, or structured set of activities).
-
C.
hasGlobalProgramme
Indicates that an entity operates, participates in, or is associated with a programme that is implemented or recognized at a global or international level.
-
D.
hasAccessMode
Indicates the type or method of access that one entity is permitted to use with respect to another entity or resource.
-
E.
hasComponentProgram
Indicates that one program includes or is composed of another program as a component or sub-program.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a74da7648190adfad56717d564df |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a50a443481909ae3662764ee69a4 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.