Triple

T8611593
Position Surface form Disambiguated ID Type / Status
Subject World Robot Olympiad E203924 entity
Predicate hasComponent P35 FINISHED
Object WRO Football
WRO Football is a World Robot Olympiad competition category where teams design and program autonomous robots to play soccer against each other on a specialized field.
 E203924 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: WRO Football | Statement: [World Robot Olympiad, hasComponent, WRO Football]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WRO Football
Context triple: [World Robot Olympiad, hasComponent, WRO Football]
  • A. WRO
    WRO is the IATA airport code for Copernicus Airport Wrocław, the main international airport serving the city of Wrocław in southwestern Poland.
  • B. WFC
    WFC is the stock ticker symbol for Wells Fargo & Company, a major American multinational financial services and banking institution.
  • C. FLL
    FLL is the IATA airport code for Fort Lauderdale–Hollywood International Airport, a major commercial airport serving the South Florida region.
  • D. WFA
    WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
  • E. World Robot Olympiad
    The World Robot Olympiad is an international robotics competition for young people that challenges teams to design, build, and program robots to solve themed tasks.
  • 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: WRO Football
Triple: [World Robot Olympiad, hasComponent, WRO Football]
Generated description
WRO Football is a World Robot Olympiad competition category where teams design and program autonomous robots to play soccer against each other on a specialized field.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WRO Football
Target entity description: WRO Football is a World Robot Olympiad competition category where teams design and program autonomous robots to play soccer against each other on a specialized field.
  • A. WRO
    WRO is the IATA airport code for Copernicus Airport Wrocław, the main international airport serving the city of Wrocław in southwestern Poland.
  • B. WFC
    WFC is the stock ticker symbol for Wells Fargo & Company, a major American multinational financial services and banking institution.
  • C. FLL
    FLL is the IATA airport code for Fort Lauderdale–Hollywood International Airport, a major commercial airport serving the South Florida region.
  • D. WFA
    WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
  • E. World Robot Olympiad chosen
    The World Robot Olympiad is an international robotics competition for young people that challenges teams to design, build, and program robots to solve themed tasks.
  • F. None of above.

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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46fc31e08190aab5ab8f92f3315c completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea91456a88190a7416b0f1a0327d6 completed April 2, 2026, 5:36 p.m.
NEDg Description generation batch_69cea9e685388190a4be9d2135dc02d0 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaababe2c8190bc47430d33bfdbaa completed April 2, 2026, 5:43 p.m.
Created at: March 30, 2026, 6:25 p.m.