Triple
T17132225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford West and Abingdon |
E415748
|
entity |
| Predicate | hasUniversityArea |
P126227
|
FINISHED |
| Object | parts of Oxford University colleges |
—
|
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: parts of Oxford University colleges | Statement: [Oxford West and Abingdon, hasUniversityArea, parts of Oxford University colleges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUniversityArea Context triple: [Oxford West and Abingdon, hasUniversityArea, parts of Oxford University colleges]
-
A.
hasUniversityCampusArea
Indicates the total physical area occupied by a university’s campus.
-
B.
campusArea
Indicates that one entity is the physical area or spatial extent of a campus associated with another entity.
-
C.
hasPublicUniversityCampus
Indicates that a public university maintains or operates a campus at the specified location.
-
D.
containsUniversityCity
Indicates that a given region or area includes within its boundaries a city that hosts a university.
-
E.
hasUniversityBranch
Indicates that an institution maintains an official branch or satellite campus of a university at a given location or within another organization.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02a9fbc81909d820d29417aa55c |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:36 a.m.