Triple
T10392837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurovision Song Contest 1974 |
E244932
|
entity |
| Predicate | winningCountryFirstVictory |
P93959
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Eurovision Song Contest 1974, winningCountryFirstVictory, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningCountryFirstVictory Context triple: [Eurovision Song Contest 1974, winningCountryFirstVictory, yes]
-
A.
yearOfMajorVictory
Indicates the specific year in which a major victory associated with the subject occurred.
-
B.
pennantWinnerHomeCountry
Indicates the country that is considered the home nation of the team that won a particular pennant.
-
C.
winningTeamFirstTitle
Indicates that the winning team is achieving its first-ever title in the relevant competition or context.
-
D.
winnerCountry
Indicates the country that achieved first place or victory in a given competition, event, or contest.
-
E.
firstWinnerYear
Indicates the year in which an entity first won a particular competition, award, or title.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b6c750819087678bf81a3ef806 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:06 p.m.