Triple
T15848678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Science and Engineering |
E384280
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | CSE |
E484296
|
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: CSE | Statement: [College of Science and Engineering, shortName, CSE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CSE Context triple: [College of Science and Engineering, shortName, CSE]
-
A.
CSE
chosen
CSE is the abbreviated name for the University of Edinburgh’s College of Science and Engineering, a major academic division focused on scientific and engineering disciplines.
-
B.
CSE
CSE is an acronym commonly used for the Certificate of Secondary Education, a former UK school-leaving qualification replaced by the GCSE system.
-
C.
CSE
CSE is Canada’s national cryptologic agency responsible for foreign signals intelligence, cybersecurity, and protecting government communications and information systems.
-
D.
CSE
CSE is the College of Science and Engineering at the University of Minnesota, a major academic unit focused on engineering, physical sciences, and related disciplines.
-
E.
CSE
CSE is the commonly used acronym for the Casablanca Stock Exchange, the principal securities market in Morocco.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14caa3fa481909bd01f3b901d7716 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa145f2dc819092db805806b6e1d5 |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.