Triple
T29180119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suite in B-flat major, HWV 434 |
E739723
|
entity |
| Predicate | titleLanguageDetail |
P38219
|
FINISHED |
| Object | movement title "Aria con variazioni" is in Italian |
—
|
NE NERFINISHED |
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: movement title "Aria con variazioni" is in Italian | Statement: [Suite in B-flat major, HWV 434, titleLanguageDetail, movement title "Aria con variazioni" is in Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleLanguageDetail Context triple: [Suite in B-flat major, HWV 434, titleLanguageDetail, movement title "Aria con variazioni" is in Italian]
-
A.
titleLanguageForm
chosen
Indicates the specific linguistic form or variant in which a title is expressed (e.g., language, script, or transliteration form).
-
B.
standardLanguageOf
Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
-
C.
subjectLanguageRegion
Indicates that the subject is associated with or uses a language specific to a particular geographic region.
-
D.
mainLanguageOf
Indicates that a specified language is the primary or dominant language used by a particular entity (such as a person, document, or organization).
-
E.
targetsLanguage
Indicates that an action, resource, or entity is specifically directed toward, designed for, or intended to be used with a particular language.
- 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: April 28, 2026, 11:56 a.m.