Triple
T15522542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KFU |
E369003
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | KFU |
E369003
|
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: KFU | Statement: [KFU, shortName, KFU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KFU Context triple: [KFU, shortName, KFU]
-
A.
KFU
chosen
KFU is a major Russian research and educational institution officially known as Kazan (Volga Region) Federal University.
-
B.
KUF
KUF is the IATA airport code for Kurumoch International Airport serving the Samara region in Russia.
-
C.
KFHU
KFHU is the ICAO airport code for Libby Army Airfield, a U.S. military airfield located at Fort Huachuca in Arizona.
-
D.
KFA
KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
-
E.
FKF
FKF is the Football Kenya Federation, the national governing body responsible for organizing and overseeing football activities and competitions in Kenya.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0403543188190abac49d2b9decb89 |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d54ea5c8190b3b220ad10ba8f40 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:04 a.m.