Triple
T34547427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Luton |
E886965
|
entity |
| Predicate | offeredProgramme |
P69363
|
FINISHED |
| Object | business studies |
—
|
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: business studies | Statement: [University of Luton, offeredProgramme, business studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offeredProgramme Context triple: [University of Luton, offeredProgramme, business studies]
-
A.
offeredProgrammeType
Indicates the type or category of programme that is being offered by an entity.
-
B.
offersProgrammeField
Indicates that an educational provider or programme offers a specific field or area of study as part of its curriculum.
-
C.
programOffered
chosen
Indicates that a particular program is made available or provided by a given entity (such as an institution, organization, or provider).
-
D.
offersProgramStructure
Indicates that one entity provides or makes available a specific program structure to another entity or context.
-
E.
offersProgramsFor
Indicates that one entity provides or makes available specific programs or courses intended for 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: May 1, 2026, 2:02 a.m.