Triple
T11260146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangor |
E266539
|
entity |
| Predicate | hasUniversityType |
P90781
|
FINISHED |
| Object | public university |
—
|
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: public university | Statement: [Bangor, hasUniversityType, public university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUniversityType Context triple: [Bangor, hasUniversityType, public university]
-
A.
hasUniversities
Indicates that an entity possesses, contains, or is associated with one or more universities.
-
B.
typeOfUniversity
chosen
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
-
C.
hasTechnicalUniversity
Indicates that a place or organization possesses or hosts a technical university as part of its institutions or infrastructure.
-
D.
hasUniversityBranch
Indicates that an institution maintains an official branch or satellite campus of a university at a given location or within another organization.
-
E.
publicUniversityType
Indicates that an institution is classified as a public university, typically funded and operated by government or state authorities.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e936cb048190b4d6fb2851ef8932 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.