Triple
T6536057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korean Council for University Education |
E152365
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | KCUE |
E605680
|
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: KCUE | Statement: [Korean Council for University Education, abbreviation, KCUE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KCUE Context triple: [Korean Council for University Education, abbreviation, KCUE]
-
A.
KCUE
chosen
KCUE is a representative association in South Korea that oversees and coordinates policies, standards, and collaboration among the nation’s universities.
-
B.
KCEW
KCEW is the ICAO airport code for Bob Sikes Airport in Crestview, Florida, a public airport serving general aviation and regional air traffic.
-
C.
KCIC
KCIC is the ICAO airport code for Chico Municipal Airport in Chico, California.
-
D.
KC
KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
-
E.
KC
KC is the vehicle registration code used on license plates for the district of Kronach in Upper Franconia, Germany.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adc238688190aca143b22b8a399c |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e41b0a8881908aebef421a6d403c |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:46 p.m.