Triple
T32564185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice-Chancellor of the University of Southampton |
E832309
|
entity |
| Predicate | sectorBodyInteraction |
P147080
|
FINISHED |
| Object | UK higher education regulators |
—
|
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: UK higher education regulators | Statement: [Vice-Chancellor of the University of Southampton, sectorBodyInteraction, UK higher education regulators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorBodyInteraction Context triple: [Vice-Chancellor of the University of Southampton, sectorBodyInteraction, UK higher education regulators]
-
A.
impactedBody
Indicates that one entity has a physical effect on, strikes, or otherwise impacts another entity’s body.
-
B.
governingBodyInteraction
chosen
Indicates an interaction, collaboration, or influence relationship between a governing body and another entity or entities.
-
C.
sectorIncludes
Indicates that a broader sector encompasses or contains a specified sub-sector, area, or component within its scope.
-
D.
associatedBody
Indicates a relationship where one entity is linked or connected to another entity as its related or corresponding body.
-
E.
sectorInspected
Indicates that a particular sector or area has been examined or checked, typically for compliance, safety, or condition.
- 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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:03 a.m.