Triple

T22548218
Position Surface form Disambiguated ID Type / Status
Subject Distell Group E557486 entity
Predicate tickerSymbol P1447 FINISHED
Object DGH
DGH is the stock ticker symbol for Distell Group, a South African producer and marketer of wines, spirits, ciders, and other alcoholic beverages.
 E1541436 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: DGH | Statement: [Distell Group, tickerSymbol, DGH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DGH
Context triple: [Distell Group, tickerSymbol, DGH]
  • A. DGG
    DGG is the station code for Dungog railway station in New South Wales, Australia.
  • B. DGHR
    DGHR is the abbreviation for the Director General of the Foreign Service, the senior U.S. State Department official responsible for managing the Foreign Service’s personnel and human resources.
  • C. DGHR
    DGHR is the Dubai Government Human Resources Department, the official body responsible for managing and developing human capital policies and practices across Dubai’s government entities.
  • D. DGN
    DGN is a public high school in Downers Grove, Illinois, known for its strong academics, extracurricular programs, and community involvement.
  • E. DGF
    DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, 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: DGH
Triple: [Distell Group, tickerSymbol, DGH]
Generated description
DGH is the stock ticker symbol for Distell Group, a South African producer and marketer of wines, spirits, ciders, and other alcoholic beverages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DGH
Target entity description: DGH is the stock ticker symbol for Distell Group, a South African producer and marketer of wines, spirits, ciders, and other alcoholic beverages.
  • A. DGG
    DGG is the station code for Dungog railway station in New South Wales, Australia.
  • B. DGHR
    DGHR is the abbreviation for the Director General of the Foreign Service, the senior U.S. State Department official responsible for managing the Foreign Service’s personnel and human resources.
  • C. DGHR
    DGHR is the Dubai Government Human Resources Department, the official body responsible for managing and developing human capital policies and practices across Dubai’s government entities.
  • D. DGN
    DGN is a public high school in Downers Grove, Illinois, known for its strong academics, extracurricular programs, and community involvement.
  • E. DGF
    DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f372df48190ae5dd461b1230bc7 completed April 29, 2026, 1:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1deccca48190aba8c7913a769101 completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b1e9bb68481909945905b369247f0 completed May 18, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1efb36ac8190a4a9c3005ee58d23 completed May 18, 2026, 2:15 p.m.
Created at: April 16, 2026, 8:52 p.m.