Triple
T6056428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linacre College, Oxford |
E134922
|
entity |
| Predicate | grantedFullCollegeStatus |
P29611
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [Linacre College, Oxford, grantedFullCollegeStatus, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedFullCollegeStatus Context triple: [Linacre College, Oxford, grantedFullCollegeStatus, 1986]
-
A.
degreeGrantingStatus
Indicates whether an institution or program has the authority to confer formal academic degrees.
-
B.
collegiateStatus
Indicates the relationship between an entity and a college or university, specifying its status or standing within that academic institution (e.g., enrolled, graduated, affiliated).
-
C.
becameFullCollegeOfUniversity
Indicates that an institution transitioned into and attained the status of a full college within a university.
-
D.
gainedUniversityStatus
Indicates that an institution has officially achieved recognition or designation as a university.
-
E.
fullCollegeStatusYear
chosen
Indicates the year in which an entity attained or was recognized with full college status.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0570bf01c8190a8b2c25b7805d403 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049edc6f0819092ca620d9073ad26 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:09 p.m.