Triple
T34708098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ninth Symphony |
E1000560
|
entity |
| Predicate | languageOfVocalSections |
P47965
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Ninth Symphony, languageOfVocalSections, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfVocalSections Context triple: [Ninth Symphony, languageOfVocalSections, German]
-
A.
vocalVersionLanguage
Indicates the language in which the vocal performance or sung lyrics of a work are expressed.
-
B.
vocalClassification
Indicates how an entity’s voice or vocal qualities are categorized within a defined classification system.
-
C.
vocalComponent
Indicates that one entity functions as a vocal or sung component within, or contributing to, another entity (such as a work, performance, or recording).
-
D.
languageOfVocalization
chosen
Indicates the language in which a vocalization (such as speech or singing) is produced.
-
E.
vocalForm
Indicates the specific vocal or phonetic form in which something (such as a word, sound, or utterance) is expressed.
- 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a007dd341108190a1d03eab46041694 |
completed | May 10, 2026, 12:45 p.m. |
| PD | Predicate disambiguation | batch_6a007b1fe2a881909ec50a1e65e4651b |
completed | May 10, 2026, 12:33 p.m. |
Created at: May 3, 2026, 3:59 p.m.