Triple

T12191914
Position Surface form Disambiguated ID Type / Status
Subject Yugoslavia national football team E290483 entity
Predicate FIFACode P6278 FINISHED
Object YUG
YUG was the FIFA country code used to represent the former Yugoslavia national football team in international competitions.
 E970658 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: YUG | Statement: [Yugoslavia national football team, FIFACode, YUG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YUG
Context triple: [Yugoslavia national football team, FIFACode, YUG]
  • A. YU
    YU is the IATA airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • B. YUSU
    YUSU is the students’ union representing and supporting students at the University of York through services, activities, and advocacy.
  • C. YUC
    YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
  • D. YBUD
    YBUD is the ICAO airport code assigned to Bundaberg Airport in Queensland, Australia.
  • E. YUL
    YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
  • 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: YUG
Triple: [Yugoslavia national football team, FIFACode, YUG]
Generated description
YUG was the FIFA country code used to represent the former Yugoslavia national football team in international competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YUG
Target entity description: YUG was the FIFA country code used to represent the former Yugoslavia national football team in international competitions.
  • A. YU
    YU is the IATA airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • B. YUSU
    YUSU is the students’ union representing and supporting students at the University of York through services, activities, and advocacy.
  • C. YUC
    YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
  • D. YBUD
    YBUD is the ICAO airport code assigned to Bundaberg Airport in Queensland, Australia.
  • E. YUL
    YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c54a4648190ad0f84c229534155 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8d24508190b0a60ca76d775b1e completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60c9276d0819086b5f7712fe8d6e6 completed May 2, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4d95288190a46bf0e54afca338 completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:50 p.m.