Triple
T12731862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Arts and Sciences (Miriam College) |
E304257
|
entity |
| Predicate | possiblePrograms |
P106617
|
FINISHED |
| Object | graduate 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: graduate programs | Statement: [College of Arts and Sciences (Miriam College), possiblePrograms, graduate programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possiblePrograms Context triple: [College of Arts and Sciences (Miriam College), possiblePrograms, graduate programs]
-
A.
madeProgram
Indicates that one entity created, developed, or authored a program (such as software or a coded application).
-
B.
intendedProgram
Indicates the academic or training program that an entity plans or expects to pursue, rather than one they are currently enrolled in or have completed.
-
C.
recommendedProgram
Indicates that one entity suggests or endorses another entity as a suitable or preferred program for a particular purpose or user.
-
D.
userProgram
Indicates that a user is associated with, uses, or is responsible for a particular program.
-
E.
developedForProgram
Indicates that something was created, designed, or produced specifically to be used in or support a particular program.
- F. None of above. chosen
Provenance (4 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:25 p.m.