Triple

T9532850
Position Surface form Disambiguated ID Type / Status
Subject Data General E229936 entity
Predicate tickerSymbol P1447 FINISHED
Object DG
DG is the stock ticker symbol for Data General, a former American minicomputer manufacturer prominent in the 1970s and 1980s.
E805889 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: DG | Statement: [Data General, tickerSymbol, DG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DG
Context triple: [Data General, tickerSymbol, DG]
  • A. DG
    DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
  • B. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • C. GD
    GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
  • D. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • E. DGP
    DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
  • 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: DG
Triple: [Data General, tickerSymbol, DG]
Generated description
DG is the stock ticker symbol for Data General, a former American minicomputer manufacturer prominent in the 1970s and 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DG
Target entity description: DG is the stock ticker symbol for Data General, a former American minicomputer manufacturer prominent in the 1970s and 1980s.
  • A. DG
    DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
  • B. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • C. GD
    GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
  • D. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • E. DGP
    DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
  • 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b5651881908241b040f123c6a8 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c4033c08190a71535b63d86f4df completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14df56ac881909fad7241797b1829 completed April 4, 2026, 5:44 p.m.
NED2 Entity disambiguation (via description) batch_69d14e7a8ca88190b38c93ff312e7333 completed April 4, 2026, 5:46 p.m.
Created at: March 30, 2026, 8 p.m.