Triple

T9026610
Position Surface form Disambiguated ID Type / Status
Subject GameCube Broadband Adapter E216061 entity
Predicate modelNumber P8607 FINISHED
Object DOL-015
DOL-015 is the model number for Nintendo’s official GameCube Broadband Adapter, a peripheral that enables high-speed network connectivity for compatible GameCube games.
 E773920 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: DOL-015 | Statement: [GameCube Broadband Adapter, modelNumber, DOL-015]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DOL-015
Context triple: [GameCube Broadband Adapter, modelNumber, DOL-015]
  • A. DL-1
    DL-1 is the vehicle registration code assigned to motor vehicles registered in the North Delhi district of India’s National Capital Territory.
  • B. D-1
    D-1 was a pioneering early Spacelab mission that helped demonstrate and validate the European-built laboratory’s capabilities for conducting scientific research in space aboard the Space Shuttle.
  • C. DLH
    DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
  • D. DLH
    DLH is the IATA airport code for Duluth International Airport, a commercial and general aviation airport serving Duluth, Minnesota, and the surrounding region.
  • E. DIL
    DIL is a German research institute specializing in food technology and innovation.
  • 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: DOL-015
Triple: [GameCube Broadband Adapter, modelNumber, DOL-015]
Generated description
DOL-015 is the model number for Nintendo’s official GameCube Broadband Adapter, a peripheral that enables high-speed network connectivity for compatible GameCube games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DOL-015
Target entity description: DOL-015 is the model number for Nintendo’s official GameCube Broadband Adapter, a peripheral that enables high-speed network connectivity for compatible GameCube games.
  • A. DL-1
    DL-1 is the vehicle registration code assigned to motor vehicles registered in the North Delhi district of India’s National Capital Territory.
  • B. D-1
    D-1 was a pioneering early Spacelab mission that helped demonstrate and validate the European-built laboratory’s capabilities for conducting scientific research in space aboard the Space Shuttle.
  • C. DLH
    DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
  • D. DLH
    DLH is the IATA airport code for Duluth International Airport, a commercial and general aviation airport serving Duluth, Minnesota, and the surrounding region.
  • E. DIL
    DIL is a German research institute specializing in food technology and innovation.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a7eb5b881908ace0c3327f06161 completed April 1, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbbf786081908df45b4e615bbba9 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdd3117c881908645b6526537571a completed April 3, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_69cfe10917188190b0223b14e7a8ed39 completed April 3, 2026, 3:47 p.m.
Created at: March 30, 2026, 7:07 p.m.