Triple
T4602206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Dynamo Kyiv |
E100344
|
entity |
| Predicate | nickName |
P2937
|
FINISHED |
| Object |
The White-Blues
The White-Blues is the traditional nickname of FC Dynamo Kyiv, one of Ukraine’s most successful and historically significant football clubs.
|
E455992
|
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: The White-Blues | Statement: [FC Dynamo Kyiv, nickName, The White-Blues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The White-Blues Context triple: [FC Dynamo Kyiv, nickName, The White-Blues]
-
A.
The Blue and White
The Blue and White is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise known for its blue-and-white team colors.
-
B.
The Black and Whites
The Black and Whites is the traditional nickname of Hull F.C., a professional rugby league club based in Kingston upon Hull, England.
-
C.
The Yellows
The Yellows is the nickname of Warrington Town F.C., an English football club based in Warrington, Cheshire.
-
D.
The Yellows
The Yellows is a common nickname for Maccabi Tel Aviv F.C., one of Israel’s most successful and popular football clubs, known for its yellow team colors.
-
E.
The White One
The White One is an epithet of Nekhbet, the ancient Egyptian vulture goddess who served as a protector of Upper Egypt and the pharaoh.
- 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: The White-Blues Triple: [FC Dynamo Kyiv, nickName, The White-Blues]
Generated description
The White-Blues is the traditional nickname of FC Dynamo Kyiv, one of Ukraine’s most successful and historically significant football clubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The White-Blues Target entity description: The White-Blues is the traditional nickname of FC Dynamo Kyiv, one of Ukraine’s most successful and historically significant football clubs.
-
A.
The Blue and White
The Blue and White is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise known for its blue-and-white team colors.
-
B.
The Black and Whites
The Black and Whites is the traditional nickname of Hull F.C., a professional rugby league club based in Kingston upon Hull, England.
-
C.
The Yellows
The Yellows is the nickname of Warrington Town F.C., an English football club based in Warrington, Cheshire.
-
D.
The Yellows
The Yellows is a common nickname for Maccabi Tel Aviv F.C., one of Israel’s most successful and popular football clubs, known for its yellow team colors.
-
E.
The White One
The White One is an epithet of Nekhbet, the ancient Egyptian vulture goddess who served as a protector of Upper Egypt and the pharaoh.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd597462c08190bcdb3efd880778b1 |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa60b3348190ac8e28f9e78e1d99 |
completed | March 21, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_69bdfbea628c81908f96e706d650ef9f |
completed | March 21, 2026, 2:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc97fc54819093e0cff18a40bde2 |
completed | March 21, 2026, 2:04 a.m. |
Created at: March 20, 2026, 1:11 p.m.