Triple
T20714166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trinity and All Saints College |
E509124
|
entity |
| Predicate | grantedTaughtDegreeAwardingPowers |
P141205
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Trinity and All Saints College, grantedTaughtDegreeAwardingPowers, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedTaughtDegreeAwardingPowers Context triple: [Trinity and All Saints College, grantedTaughtDegreeAwardingPowers, 2009]
-
A.
grantedDegreesTo
Indicates that one entity has officially conferred academic degrees upon another entity.
-
B.
hasTeachingAuthority
Indicates that one entity possesses the recognized power or right to teach, instruct, or provide formal education to another entity or within a specific context.
-
C.
grantsDegreeThrough
Indicates that an institution confers a degree to an individual by means of a specified program, process, or pathway.
-
D.
grantsDegreeIn
Indicates that an institution or authority confers an academic degree in a specified field or discipline.
-
E.
grantsDegreesFrom
Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d001788190a524a17347f9de67 |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:15 p.m.