Triple

T16788047
Position Surface form Disambiguated ID Type / Status
Subject World Athletics Cross Country Championships E408030 entity
Predicate abbreviation P43 FINISHED
Object WAXCC
WAXCC is the commonly used abbreviation for the World Athletics Cross Country Championships, a premier global cross country running competition organized by World Athletics.
 E1233293 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: WAXCC | Statement: [World Athletics Cross Country Championships, abbreviation, WAXCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WAXCC
Context triple: [World Athletics Cross Country Championships, abbreviation, WAXCC]
  • A. WAXY
    WAXY is a South Florida AM radio station known for its sports talk programming and affiliation with major sports networks.
  • B. WXC
    WXC is the National Rail station code for Wrexham Central railway station in Wrexham, Wales.
  • C. WCCI
    WCCI is the IEEE World Congress on Computational Intelligence, a major international conference that brings together researchers and practitioners in fields such as neural networks, fuzzy systems, and evolutionary computation.
  • D. WCX
    WCX is the National Rail station code for Wembley Stadium railway station in London, England.
  • E. CW-X
    CW-X is a performance-focused athletic apparel brand known for its compression and support gear, particularly high-tech sports bras and tights.
  • 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: WAXCC
Triple: [World Athletics Cross Country Championships, abbreviation, WAXCC]
Generated description
WAXCC is the commonly used abbreviation for the World Athletics Cross Country Championships, a premier global cross country running competition organized by World Athletics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WAXCC
Target entity description: WAXCC is the commonly used abbreviation for the World Athletics Cross Country Championships, a premier global cross country running competition organized by World Athletics.
  • A. WAXY
    WAXY is a South Florida AM radio station known for its sports talk programming and affiliation with major sports networks.
  • B. WXC
    WXC is the National Rail station code for Wrexham Central railway station in Wrexham, Wales.
  • C. WCCI
    WCCI is the IEEE World Congress on Computational Intelligence, a major international conference that brings together researchers and practitioners in fields such as neural networks, fuzzy systems, and evolutionary computation.
  • D. WCX
    WCX is the National Rail station code for Wembley Stadium railway station in London, England.
  • E. CW-X
    CW-X is a performance-focused athletic apparel brand known for its compression and support gear, particularly high-tech sports bras and tights.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21c49788190b9a2ca2101604f64 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab09932c8190ba16a349c4938c16 completed May 10, 2026, 3:58 p.m.
NEDg Description generation batch_6a00acaf3b8c8190820e0abbdd5f8811 completed May 10, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_6a00ad4bb7a08190ba93bb05435e66b1 completed May 10, 2026, 4:07 p.m.
Created at: April 10, 2026, 5:22 a.m.