Triple
T34615456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melodi Grand Prix (Danish national Eurovision selection) |
E888849
|
entity |
| Predicate | winnerSongLanguage |
P187079
|
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: [Melodi Grand Prix (Danish national Eurovision selection), winnerSongLanguage, Danish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerSongLanguage Context triple: [Melodi Grand Prix (Danish national Eurovision selection), winnerSongLanguage, Danish]
-
A.
winnerLanguage
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.
winningSong
Indicates that a song is the one that has won a particular contest, award, or competition.
-
C.
winnerArtist
Indicates that an artist is the winner of a particular contest, award, or competitive event.
-
D.
conductorOfWinningSong
Indicates that an entity served as the conductor for the song that won a particular competition or award.
-
E.
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.
- F. None of above. chosen
Provenance (4 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: May 1, 2026, 2:03 a.m.