Triple
T22983394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basketball League of Serbia |
E571531
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
KLS
KLS is Serbia’s top-tier professional men’s basketball league, featuring the country’s leading clubs in national competition.
|
E1564498
|
NE FINISHED |
How this triple was built (4 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: KLS | Statement: [Basketball League of Serbia, abbreviation, KLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KLS Context triple: [Basketball League of Serbia, abbreviation, KLS]
-
A.
KLS
KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
-
B.
KLS
KLS is the IATA airport code for Southwest Washington Regional Airport, a public airport serving the Longview–Kelso area in Washington State, USA.
-
C.
KLSV
KLSV is the ICAO airport code for Nellis Air Force Base, a major United States Air Force installation near Las Vegas, Nevada.
-
D.
KLSI
KLSI is the ICAO airport code assigned to Ellsworth Air Force Base in South Dakota, a major United States Air Force installation.
-
E.
KLAL
KLAL is the ICAO airport code for Lakeland Linder International Airport in Lakeland, Florida, a regional airport known for general aviation and cargo operations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KLS Triple: [Basketball League of Serbia, abbreviation, KLS]
Generated description
KLS is Serbia’s top-tier professional men’s basketball league, featuring the country’s leading clubs in national competition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KLS Target entity description: KLS is Serbia’s top-tier professional men’s basketball league, featuring the country’s leading clubs in national competition.
-
A.
KLS
KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
-
B.
KLS
KLS is the IATA airport code for Southwest Washington Regional Airport, a public airport serving the Longview–Kelso area in Washington State, USA.
-
C.
KLSV
KLSV is the ICAO airport code for Nellis Air Force Base, a major United States Air Force installation near Las Vegas, Nevada.
-
D.
KLSI
KLSI is the ICAO airport code assigned to Ellsworth Air Force Base in South Dakota, a major United States Air Force installation.
-
E.
KLAL
KLAL is the ICAO airport code for Lakeland Linder International Airport in Lakeland, Florida, a regional airport known for general aviation and cargo operations.
- F. None of above. chosen
Provenance (5 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829775e881909c5d6d35d3fd57f7 |
completed | April 29, 2026, 4:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bd375089c8190b27eba40eabb33c5 |
completed | May 19, 2026, 3:05 a.m. |
| NEDg | Description generation | batch_6a0bd3eeaa7481908724a9a882f8ca74 |
completed | May 19, 2026, 3:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bd45b72e88190a42c4001f1533d27 |
completed | May 19, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:49 p.m.