Triple
T9706731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurovision Song Contest 2009 |
E234916
|
entity |
| Predicate | alsoIncludesNonEuropeanCountries |
P29118
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Eurovision Song Contest 2009, alsoIncludesNonEuropeanCountries, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoIncludesNonEuropeanCountries Context triple: [Eurovision Song Contest 2009, alsoIncludesNonEuropeanCountries, true]
-
A.
hasNonRegionalMemberCountries
chosen
Indicates that an organization includes member countries that are not part of the primary geographic region with which the organization is associated.
-
B.
sometimesIncludesTerritory
Indicates that one entity occasionally, but not consistently, encompasses or contains the territory of another entity.
-
C.
includesSovereignState
Indicates that one entity encompasses or contains a sovereign state within its scope, membership, or composition.
-
D.
alsoInCountry
Indicates that something located in one country is additionally located or present in another specified country.
-
E.
typicalCountryIncluded
Indicates that a country is commonly or characteristically included within a given grouping, context, or set.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da4c53c81908ba4bfe4d9ca8814 |
completed | April 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:19 p.m.