Triple
T2223514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swansea University |
E48593
|
entity |
| Predicate | alsoOffers |
P22839
|
FINISHED |
| Object | Welsh-medium provision |
—
|
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: Welsh-medium provision | Statement: [Swansea University, alsoOffers, Welsh-medium provision]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoOffers Context triple: [Swansea University, alsoOffers, Welsh-medium provision]
-
A.
offersProduct
Indicates that one entity makes a product available to another entity, typically for sale or use.
-
B.
associatedOffering
chosen
Indicates a relationship where one offering is linked or connected to another offering as related or contextually relevant.
-
C.
offersFeature
Indicates that one entity provides or makes available a particular feature or capability to another entity.
-
D.
offeredIn
Indicates that something is made available or provided within a particular context, setting, or medium.
-
E.
offersServiceTo
Indicates that one entity provides or makes a service available for the benefit or use of 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03d1df88190950c691a4c246bd1 |
completed | March 7, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69abbdac31d8819092d17815e11921e9 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.