Triple
T28577761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darton College of Health Professions |
E723287
|
entity |
| Predicate | hasParentCollege |
P72302
|
FINISHED |
| Object | Albany State University College structure |
—
|
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: Albany State University College structure | Statement: [Darton College of Health Professions, hasParentCollege, Albany State University College structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentCollege Context triple: [Darton College of Health Professions, hasParentCollege, Albany State University College structure]
-
A.
hasCollegeType
Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
-
B.
hasAdjacentCollege
Indicates that one entity has a college located directly next to or bordering it.
-
C.
isInCollege
Indicates that a person is currently enrolled as a student at a college or university.
-
D.
hasColleges
chosen
Indicates that an entity possesses, contains, or is associated with one or more colleges.
-
E.
hasJuniorCollege
Indicates that an entity operates, is associated with, or includes a junior college as part of its structure or offerings.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: April 28, 2026, 4:13 a.m.