Triple
T26436606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacMurray College |
E664965
|
entity |
| Predicate | offeredProgramArea |
P115049
|
FINISHED |
| Object | liberal arts and sciences |
—
|
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: liberal arts and sciences | Statement: [MacMurray College, offeredProgramArea, liberal arts and sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offeredProgramArea Context triple: [MacMurray College, offeredProgramArea, liberal arts and sciences]
-
A.
offeredProgrammeType
Indicates the type or category of programme that is being offered by an entity.
-
B.
applicablePrograms
Indicates that certain programs are relevant to, valid for, or can be applied in the context of a given entity or situation.
-
C.
offersProgramsFor
Indicates that one entity provides or makes available specific programs or courses intended for another entity.
-
D.
offeredFamilyOfPrograms
chosen
Indicates that an entity provides or makes available a specific family or group of related programs.
-
E.
offersProgramsThrough
Indicates that one entity provides or delivers its programs, services, or courses by means of, or via the infrastructure or platform of, another entity.
- 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_69ee883c851881909e2ab04efbb3c5fe |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 26, 2026, 11:54 p.m.