Triple
T31425495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tchaikovsky's Second Symphony |
E801650
|
entity |
| Predicate | languageOfFolkThemes |
P200240
|
FINISHED |
| Object | Ukrainian |
—
|
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: Ukrainian | Statement: [Tchaikovsky's Second Symphony, languageOfFolkThemes, Ukrainian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfFolkThemes Context triple: [Tchaikovsky's Second Symphony, languageOfFolkThemes, Ukrainian]
-
A.
languageOfTheme
Indicates that a particular language is used to express, describe, or label a given theme or subject.
-
B.
culturalThemes
Indicates that there is a relationship between entities where one embodies, expresses, or is associated with particular cultural themes present in or derived from the other.
-
C.
featuresCrossCulturalTheme
Indicates that the subject includes or highlights themes involving interactions, comparisons, or connections between different cultures.
-
D.
languageOfSurroundingCulture
Indicates that one entity is the language predominantly used or characteristic of the surrounding culture associated with another entity.
-
E.
typicalLanguages
Indicates the languages that are commonly or characteristically used, spoken, or associated with a given 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_69f348c26f048190b4adadd71b4596c5 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff7c96e6dc8190b89554480ebcea39 |
completed | May 9, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69ff7c2381748190ad9a2176e0e478cd |
completed | May 9, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69ff7c96036c8190bfae5ec9b5a1965f |
completed | May 9, 2026, 6:27 p.m. |
Created at: April 30, 2026, 8:52 p.m.