Triple
T12413152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KCO |
E296568
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | KCO |
E296568
|
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: KCO | Statement: [KCO, shortName, KCO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KCO Context triple: [KCO, shortName, KCO]
-
A.
KCO
chosen
KCO is the abbreviated name commonly used for the Royal Concertgebouw Orchestra, one of the world’s leading symphony orchestras based in Amsterdam.
-
B.
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.
-
C.
KCOS
KCOS is the ICAO airport code for Colorado Springs Airport, a public civil-military airport serving Colorado Springs, Colorado.
-
D.
KMCO
KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
-
E.
KOCCA
KOCCA is a South Korean government agency that supports and promotes the nation’s creative content industries, including games, animation, music, and digital media.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6b0f9c8190813b6fe3f97570ac |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f002b7c81909ee9d4ea3ea6d5f2 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.