Triple
T35523161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chichele Professor of Medieval History |
E1026598
|
entity |
| Predicate | collegeOfUniversity |
P181541
|
FINISHED |
| Object | All Souls College, Oxford |
—
|
NE NERFINISHED |
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: All Souls College, Oxford | Statement: [Chichele Professor of Medieval History, collegeOfUniversity, All Souls College, Oxford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeOfUniversity Context triple: [Chichele Professor of Medieval History, collegeOfUniversity, All Souls College, Oxford]
-
A.
universityCollege
chosen
Indicates that one institution functions as a college within, or is organizationally part of, a larger university.
-
B.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
C.
publicUniversityFacultyOf
Indicates that a person serves as a faculty member at a public (state-funded) university.
-
D.
artsAndSciencesCollege
Indicates that an entity is affiliated with, part of, or belongs to a college or faculty of arts and sciences.
-
E.
university2
Indicates a relationship where an entity is a university associated with, attended by, or otherwise linked to another entity.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
Created at: May 3, 2026, 4:04 p.m.