Triple
T23434652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Engineering at Manhattan College |
E563423
|
entity |
| Predicate | hasUndergraduateLevel |
P152264
|
FINISHED |
| Object | bachelor’s level |
—
|
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: bachelor’s level | Statement: [School of Engineering at Manhattan College, hasUndergraduateLevel, bachelor’s level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUndergraduateLevel Context triple: [School of Engineering at Manhattan College, hasUndergraduateLevel, bachelor’s level]
-
A.
hasUndergraduateFocus
Indicates that an educational program, department, or institution is primarily oriented toward undergraduate-level study or specialization.
-
B.
hasHigherEducationType
Indicates that one entity has a specified type or category of higher education associated with it.
-
C.
isUndergraduateCounterpartOf
Indicates that one academic program, course, or role is the undergraduate-level counterpart of another at a higher (e.g., graduate) level.
-
D.
hasUndergraduatePrograms
Indicates that an educational institution offers one or more undergraduate-level academic programs.
-
E.
hasHigherEducationAccess
Indicates that one entity has access to higher education opportunities or institutions relative to another entity or context.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5daabcc819094446a80723a487b |
completed | April 29, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:49 p.m.