Triple
T22744153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Korea women's national basketball team |
E562501
|
entity |
| Predicate | governingBodyAbbreviation |
P2886
|
FINISHED |
| Object | KBA |
—
|
NE NERFINISHED |
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: KBA | Statement: [South Korea women's national basketball team, governingBodyAbbreviation, KBA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KBA Context triple: [South Korea women's national basketball team, governingBodyAbbreviation, KBA]
-
A.
KBA
KBA is Germany’s Federal Motor Transport Authority, responsible for vehicle registration, driver licensing, and road traffic data and safety oversight.
-
B.
KBA
chosen
KBA is the acronym commonly used to refer to the Korean Bar Association, the national organization representing lawyers in South Korea.
-
C.
KAB
KAB is the station code for Kaulbachplatz, a public transit stop in Nuremberg, Germany.
-
D.
BKB
BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
-
E.
KBN
KBN is the National Rail station code assigned to Kilburn Park station in London.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797590f08190a784f73fcd27b101 |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:23 p.m.