Triple
T2182197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of South Wales |
E49068
|
entity |
| Predicate | hasLinkWith |
P33476
|
FINISHED |
| Object | industry partners |
—
|
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: industry partners | Statement: [University of South Wales, hasLinkWith, industry partners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLinkWith Context triple: [University of South Wales, hasLinkWith, industry partners]
-
A.
hasRelation
chosen
Indicates that there exists some specified relationship or association between two entities.
-
B.
hasCommunityLink
Indicates that there exists an established connection or association between an entity and a community.
-
C.
hasCoupling
Indicates that two entities are linked or joined together in a way that allows them to interact, transfer, or coordinate motion, energy, or information.
-
D.
isMajorLinkBetween
Indicates that one entity serves as a primary or most significant connecting link between two or more other entities.
-
E.
hasJunctionWith
Indicates that one entity meets or intersects with another at a shared junction point.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.