Triple

T5343623
Position Surface form Disambiguated ID Type / Status
Subject World Anti-Doping Code E123999 entity
Predicate shortName P43 FINISHED
Object WADC
WADC is the commonly used abbreviation for the World Anti-Doping Code, the core document that harmonizes anti-doping policies and regulations in global sport.
 E511347 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: WADC | Statement: [World Anti-Doping Code, shortName, WADC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WADC
Context triple: [World Anti-Doping Code, shortName, WADC]
  • A. WADD
    WADD is the ICAO airport code for Ngurah Rai International Airport, the main airport serving Bali, Indonesia.
  • B. W&A
    W&A is the commonly used abbreviation for the Western and Atlantic Railroad, a historic rail line in the southeastern United States.
  • C. AWC
    AWC is the U.S. Aviation Weather Center, a National Weather Service unit that provides critical weather forecasts and warnings for aviation safety.
  • D. WJA
    WJA is the ICAO airline designator used for WestJet, a major Canadian low-cost carrier.
  • E. WABD
    WABD was the original call sign of the New York City television station now known as WNYW, historically associated with the DuMont Television Network.
  • 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: WADC
Triple: [World Anti-Doping Code, shortName, WADC]
Generated description
WADC is the commonly used abbreviation for the World Anti-Doping Code, the core document that harmonizes anti-doping policies and regulations in global sport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WADC
Target entity description: WADC is the commonly used abbreviation for the World Anti-Doping Code, the core document that harmonizes anti-doping policies and regulations in global sport.
  • A. WADD
    WADD is the ICAO airport code for Ngurah Rai International Airport, the main airport serving Bali, Indonesia.
  • B. W&A
    W&A is the commonly used abbreviation for the Western and Atlantic Railroad, a historic rail line in the southeastern United States.
  • C. AWC
    AWC is the U.S. Aviation Weather Center, a National Weather Service unit that provides critical weather forecasts and warnings for aviation safety.
  • D. WJA
    WJA is the ICAO airline designator used for WestJet, a major Canadian low-cost carrier.
  • E. WABD
    WABD was the original call sign of the New York City television station now known as WNYW, historically associated with the DuMont Television Network.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85e86edc81908d87933db6489f91 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18ce6aac819093b36992303c5b1c completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf198574ec8190b4e142c6c783f377 completed March 21, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69bf19e2d1fc81909030e32bb18d46dc completed March 21, 2026, 10:21 p.m.
Created at: March 20, 2026, 2:01 p.m.