Triple
T5429276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kettering University |
E121442
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | KU |
E121442
|
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: KU | Statement: [Kettering University, abbreviation, KU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KU Context triple: [Kettering University, abbreviation, KU]
-
A.
KU
KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
-
B.
KU
chosen
KU is the commonly used abbreviation for Kettering University, a private university in Flint, Michigan known for its strong engineering and cooperative education programs.
-
C.
KU
KU is the vehicle registration code assigned to the district of Kulmbach in the Upper Franconia region of Bavaria, Germany.
-
D.
KU
KU is the commonly used abbreviation for Korea University, one of South Korea’s leading private research universities.
-
E.
KU
KU is a common abbreviation for the University of Karachi, a major public research university in Karachi, Pakistan.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd883d1bfc8190859bb05cfab065c8 |
completed | March 20, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4125e490819088f70090cf8d81fa |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 2:06 p.m.