Triple

T10383620
Position Surface form Disambiguated ID Type / Status
Subject Barys Astana E244703 entity
Predicate abbreviation P43 FINISHED
Object BAR
BAR is the commonly used abbreviation for Barys Astana, a professional ice hockey team based in Astana, Kazakhstan that competes in the Kontinental Hockey League (KHL).
 E859917 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: BAR | Statement: [Barys Astana, abbreviation, BAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BAR
Context triple: [Barys Astana, abbreviation, BAR]
  • A. BAR
    BAR is the vehicle registration code used on license plates for vehicles registered in the Eberswalde region of Germany.
  • B. Bar
    Bar is a coastal city and major seaport in southern Montenegro on the Adriatic Sea.
  • C. Bar
    Bar is a small historic city in central-western Ukraine known for its strategic location and cultural heritage.
  • D. Baar
    Baar is a municipality in the canton of Zug in central Switzerland, known for its favorable tax environment and mix of residential areas and international businesses.
  • E. Ba
    Ba is a town and district on the northwestern coast of Viti Levu in Fiji, known for its sugar industry and cultural diversity.
  • 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: BAR
Triple: [Barys Astana, abbreviation, BAR]
Generated description
BAR is the commonly used abbreviation for Barys Astana, a professional ice hockey team based in Astana, Kazakhstan that competes in the Kontinental Hockey League (KHL).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BAR
Target entity description: BAR is the commonly used abbreviation for Barys Astana, a professional ice hockey team based in Astana, Kazakhstan that competes in the Kontinental Hockey League (KHL).
  • A. BAR
    BAR is the vehicle registration code used on license plates for vehicles registered in the Eberswalde region of Germany.
  • B. Bar
    Bar is a coastal city and major seaport in southern Montenegro on the Adriatic Sea.
  • C. Bar
    Bar is a small historic city in central-western Ukraine known for its strategic location and cultural heritage.
  • D. Baar
    Baar is a municipality in the canton of Zug in central Switzerland, known for its favorable tax environment and mix of residential areas and international businesses.
  • E. Ba
    Ba is a town and district on the northwestern coast of Viti Levu in Fiji, known for its sugar industry and cultural diversity.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9a2aafc8190aa11d14852fa1599 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7959b6c2c819085b606280024c0f9 completed April 9, 2026, 12:03 p.m.
NEDg Description generation batch_69d799bd91e4819085fbd44d524aaf97 completed April 9, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_69d79a6086fc8190ab8454a216dfda8c completed April 9, 2026, 12:24 p.m.
Created at: April 6, 2026, 12:04 p.m.