Triple
T9025612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Suffolk |
E216040
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UoS |
E196273
|
NE 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: UoS | Statement: [University of Suffolk, abbreviation, UoS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UoS Context triple: [University of Suffolk, abbreviation, UoS]
-
A.
UoS
chosen
UoS is a leading British research-intensive university known for its strengths in engineering, oceanography, and computer science.
-
B.
UoP
UoP is the former abbreviation for Savitribai Phule Pune University, a major public state university located in Pune, Maharashtra, India.
-
C.
UoM
UoM is a leading Australian public research university based in Melbourne, known for its strong academic reputation and comprehensive range of undergraduate and postgraduate programs.
-
D.
UoC
UoC is a major public research university in Cologne, Germany, known for its broad range of academic disciplines and large student population.
-
E.
UoK
UoK is the commonly used abbreviation for the University of Khartoum, a leading public university in Sudan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7ce71c81908041814dc9ec1713 |
completed | April 1, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbbf786081908df45b4e615bbba9 |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:07 p.m.