Triple
T5318682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobe Gakuin University |
E121617
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | KGU |
E121617
|
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: KGU | Statement: [Kobe Gakuin University, abbreviation, KGU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KGU Context triple: [Kobe Gakuin University, abbreviation, KGU]
-
A.
KGU
chosen
KGU is the commonly used abbreviation for Kobe Gakuin University, a private university located in Kobe, Japan.
-
B.
GCU
GCU is a modern public university in Glasgow, Scotland, known for its focus on social innovation, applied research, and career-oriented education.
-
C.
KSU
KSU is the vehicle registration code used on license plates for the town of Sucha Beskidzka in Poland.
-
D.
KSU
KSU is the vehicle registration code used for motor vehicles registered in Kristiansund, Norway.
-
E.
KFU
KFU is a major Russian research and educational institution officially known as Kazan (Volga Region) Federal University.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd855407048190bcdb97c7098cc2aa |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf1113e04c8190a3d13a0e40273f8d |
completed | March 21, 2026, 9:43 p.m. |
Created at: March 20, 2026, 1:59 p.m.