Triple
T10644303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diageo |
E250799
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
DGE
DGE is the London Stock Exchange ticker symbol for Diageo, a major global producer of alcoholic beverages including brands like Johnnie Walker and Guinness.
|
E877995
|
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: DGE | Statement: [Diageo, tickerSymbol, DGE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DGE Context triple: [Diageo, tickerSymbol, DGE]
-
A.
DHGE
DHGE is a German cooperative state university based in Gera and Eisenach that offers practice-oriented dual study programs in collaboration with industry partners.
-
B.
DGP
DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
-
C.
DGN
DGN is a public high school in Downers Grove, Illinois, known for its strong academics, extracurricular programs, and community involvement.
-
D.
DGC
DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
-
E.
DGC
DGC is a record label imprint best known for signing influential alternative rock and grunge artists in the late 1980s and 1990s.
- 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: DGE Triple: [Diageo, tickerSymbol, DGE]
Generated description
DGE is the London Stock Exchange ticker symbol for Diageo, a major global producer of alcoholic beverages including brands like Johnnie Walker and Guinness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DGE Target entity description: DGE is the London Stock Exchange ticker symbol for Diageo, a major global producer of alcoholic beverages including brands like Johnnie Walker and Guinness.
-
A.
DHGE
DHGE is a German cooperative state university based in Gera and Eisenach that offers practice-oriented dual study programs in collaboration with industry partners.
-
B.
DGP
DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
-
C.
DGN
DGN is a public high school in Downers Grove, Illinois, known for its strong academics, extracurricular programs, and community involvement.
-
D.
DGC
DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
-
E.
DGC
DGC is a record label imprint best known for signing influential alternative rock and grunge artists in the late 1980s and 1990s.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfd04ca88190ac4fffd13c1f33a8 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a4dd4e48190ba7d0291686702e6 |
completed | April 10, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d97cc07100819088683a0d79b2baa0 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e0cda0c8190af5013b971b2ad3c |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:05 p.m.