Triple

T9026725
Position Surface form Disambiguated ID Type / Status
Subject Dolphin E216063 entity
Predicate hasAbbreviation P43 FINISHED
Object GCN
GCN is the commonly used abbreviation for the video game "Dolphin," better known as the Nintendo GameCube.
 E773926 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: GCN | Statement: [Dolphin, hasAbbreviation, GCN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GCN
Context triple: [Dolphin, hasAbbreviation, GCN]
  • A. EGCN
    EGCN is the ICAO airport code for Doncaster Sheffield Airport, a former international airport in South Yorkshire, England.
  • B. GCA
    GCA is a landmark U.S. federal law enacted in 1968 that regulates the firearms industry and gun sales, including licensing, prohibited persons, and interstate commerce in weapons.
  • C. DGL
    DGL is the vehicle registration code assigned to the town of Głogów in Poland.
  • D. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • E. CGN
    CGN is the IATA airport code for Cologne Bonn Airport, a major international airport serving the Cologne and Bonn region in western Germany.
  • 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: GCN
Triple: [Dolphin, hasAbbreviation, GCN]
Generated description
GCN is the commonly used abbreviation for the video game "Dolphin," better known as the Nintendo GameCube.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GCN
Target entity description: GCN is the commonly used abbreviation for the video game "Dolphin," better known as the Nintendo GameCube.
  • A. EGCN
    EGCN is the ICAO airport code for Doncaster Sheffield Airport, a former international airport in South Yorkshire, England.
  • B. GCA
    GCA is a landmark U.S. federal law enacted in 1968 that regulates the firearms industry and gun sales, including licensing, prohibited persons, and interstate commerce in weapons.
  • C. DGL
    DGL is the vehicle registration code assigned to the town of Głogów in Poland.
  • D. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • E. CGN
    CGN is the IATA airport code for Cologne Bonn Airport, a major international airport serving the Cologne and Bonn region in western Germany.
  • 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.