Triple
T23434653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Engineering at Manhattan College |
E563423
|
entity |
| Predicate | hasGraduateLevel |
P124790
|
FINISHED |
| Object | master’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: master’s level | Statement: [School of Engineering at Manhattan College, hasGraduateLevel, master’s level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGraduateLevel Context triple: [School of Engineering at Manhattan College, hasGraduateLevel, master’s level]
-
A.
hasGraduateInstitute
Indicates that an entity is associated with or offers a specific graduate-level educational institution or program.
-
B.
hasGraduateDivision
Indicates that an institution or academic unit possesses an official graduate-level division or administrative body responsible for graduate programs.
-
C.
hasHigherEducationType
chosen
Indicates that one entity has a specified type or category of higher education associated with it.
-
D.
hasHighestDegree
Indicates that one entity possesses the highest academic degree attained by another entity.
-
E.
includesHigherDegrees
Indicates that one entity’s set of academic degrees contains at least one degree that is at a higher level than those in another entity’s set.
- 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_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. |
Created at: April 17, 2026, 5:49 p.m.