Triple
T13800865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melodifestivalen |
E331633
|
entity |
| Predicate | countryEntryType |
P111519
|
FINISHED |
| Object | national selection |
—
|
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: national selection | Statement: [Melodifestivalen, countryEntryType, national selection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryEntryType Context triple: [Melodifestivalen, countryEntryType, national selection]
-
A.
countryType
Indicates the classification or category of a country based on a specified typology (e.g., political, economic, or geographic type).
-
B.
countryStatus
Indicates the political or legal condition of a country, such as its sovereignty, recognition, or current state in international or domestic contexts.
-
C.
countryResponse
Indicates that a country issues, provides, or expresses a reply, reaction, or stance in response to a particular event, request, or situation.
-
D.
countryPortionIn
Indicates that a specific part or region is located within the boundaries of a particular country.
-
E.
serviceEntryCountry
Indicates the country where a service is first entered, initiated, or begins operation in relation to an entity.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ded6c8190851c108ae559a355 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:11 p.m.