Triple
T279721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malena Ernman |
E5325
|
entity |
| Predicate | yearOfEurovisionParticipation |
P9034
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Malena Ernman, yearOfEurovisionParticipation, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfEurovisionParticipation Context triple: [Malena Ernman, yearOfEurovisionParticipation, 2009]
-
A.
countryFormed
Indicates that one country was created, established, or came into existence as a result of another country or political entity.
-
B.
unificationDate
Indicates the date on which two or more previously separate entities were formally unified into a single entity.
-
C.
EUMemberState
Indicates that an entity is a country that is a member state of the European Union.
-
D.
dateOfUNMembership
Indicates the specific date on which an entity officially became a member of the United Nations.
-
E.
countryJoined
Indicates that a country became a member of, or formally entered into, a specific organization, union, alliance, or agreement.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25def95c48190bb8ab2259f67b583 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b765f488190b2cbe4b45cd42821 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c4b773c81908f1017f40b0bfd07 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.