Triple

T10436118
Position Surface form Disambiguated ID Type / Status
Subject Lithuanian Basketball League E246043 entity
Predicate abbreviation P43 FINISHED
Object LKL
LKL is the premier professional basketball league in Lithuania, featuring the country’s top clubs and serving as its highest level of domestic competition.
 E864031 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: LKL | Statement: [Lithuanian Basketball League, abbreviation, LKL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LKL
Context triple: [Lithuanian Basketball League, abbreviation, LKL]
  • A. LK
    LK is the two-letter ISO 3166-1 alpha-2 country code assigned to Sri Lanka for international standardization and identification purposes.
  • B. KLS
    KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
  • C. KLC
    KLC is the ICAO airline designator used for KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
  • D. KLC
    KLC is an American hip-hop producer best known for his work with Master P’s No Limit Records and his influential Southern rap sound.
  • 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: LKL
Triple: [Lithuanian Basketball League, abbreviation, LKL]
Generated description
LKL is the premier professional basketball league in Lithuania, featuring the country’s top clubs and serving as its highest level of domestic competition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LKL
Target entity description: LKL is the premier professional basketball league in Lithuania, featuring the country’s top clubs and serving as its highest level of domestic competition.
  • A. LK
    LK is the two-letter ISO 3166-1 alpha-2 country code assigned to Sri Lanka for international standardization and identification purposes.
  • B. KLS
    KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
  • C. KLC
    KLC is the ICAO airline designator used for KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
  • D. KLC
    KLC is an American hip-hop producer best known for his work with Master P’s No Limit Records and his influential Southern rap sound.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea843f1c8190afca4a42bc364468 completed April 7, 2026, 11:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87ec1a0908190b5369ad55cf2bcb1 completed April 10, 2026, 4:38 a.m.
NEDg Description generation batch_69d886c3fdcc8190a67a7f7788b8a2e8 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dc15ab481909011c5de93bbab14 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:14 p.m.