Triple
T32740356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurovision Song Contest 1963 |
E837201
|
entity |
| Predicate | winningLanguage |
P28255
|
FINISHED |
| Object | Danish |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Danish | Statement: [Eurovision Song Contest 1963, winningLanguage, Danish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningLanguage Context triple: [Eurovision Song Contest 1963, winningLanguage, Danish]
-
A.
winnerLanguage
chosen
Indicates that the associated language is the one used by, or officially recognized for, the winner in a given contest, award, or competitive event.
-
B.
languageOfMostWinners
Indicates the language in which the greatest number of winners (e.g., of an award or competition) are associated or have produced their work.
-
C.
promotedLanguage
Indicates that one entity actively advocated for, advertised, or otherwise encouraged the use or adoption of a particular language.
-
D.
governingLanguage
Indicates the language that holds official or authoritative status over a given entity, such as a region, organization, or document.
-
E.
languageUsedAs
Indicates that one language is employed in a specific role, function, or context relative to another entity or situation.
- F. None of above.
Provenance (3 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f717a88190a924d614c2c9bca3 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:12 a.m.