Triple
T5757363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kellogg College, Oxford |
E127002
|
entity |
| Predicate | becameFullCollegeOfUniversity |
P66203
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [Kellogg College, Oxford, becameFullCollegeOfUniversity, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameFullCollegeOfUniversity Context triple: [Kellogg College, Oxford, becameFullCollegeOfUniversity, 1994]
-
A.
becameFourYearInstitution
Indicates that an educational institution transitioned to offering four-year degree programs or full four-year status.
-
B.
gainedUniversityStatus
Indicates that an institution has officially achieved recognition or designation as a university.
-
C.
foundedAsCollege
Indicates that an institution was originally established as a college, even if its status or designation later changed.
-
D.
upgradedToCollege
Indicates that an entity has advanced or transitioned from a lower educational level or status to a college-level status or institution.
-
E.
foundedAsUniversityIn
Indicates that an institution was originally established as a university in a specific year or time period.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029084e108190988f1b5f38254007 |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028fec2bc819083f5dca6a8d9d435 |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:49 p.m.