Triple
T21869786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KOCCA |
E539971
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | KOCCA |
—
|
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: KOCCA | Statement: [KOCCA, abbreviation, KOCCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KOCCA Context triple: [KOCCA, abbreviation, KOCCA]
-
A.
KOCCA
chosen
KOCCA is a South Korean government agency that supports and promotes the nation’s creative content industries, including games, animation, music, and digital media.
-
B.
KCO
KCO is the abbreviated name commonly used for the Royal Concertgebouw Orchestra, one of the world’s leading symphony orchestras based in Amsterdam.
-
C.
KOC
KOC is the abbreviation for the National Olympic Committee of Kosovo, the body responsible for organizing and overseeing Kosovo’s participation in the Olympic Games.
-
D.
KCC
KCC is a public community college in Brooklyn, New York, known for offering associate degree programs and serving as an entry point to higher education for a diverse urban student population.
-
E.
KCA
KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f334362c819094af465ee57b47e6 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 6:57 p.m.