Triple
T29528467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polonaise in G minor, B. 1 |
E749131
|
entity |
| Predicate | titleLanguageContext |
P38219
|
FINISHED |
| Object | Polonaise en sol mineur |
—
|
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: Polonaise en sol mineur | Statement: [Polonaise in G minor, B. 1, titleLanguageContext, Polonaise en sol mineur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleLanguageContext Context triple: [Polonaise in G minor, B. 1, titleLanguageContext, Polonaise en sol mineur]
-
A.
titleLanguageForm
chosen
Indicates the specific linguistic form or variant in which a title is expressed (e.g., language, script, or transliteration form).
-
B.
titleLanguageMeaning
Indicates that a title is expressed in a particular language and conveys a specific meaning in that language.
-
C.
targetsLanguage
Indicates that an action, resource, or entity is specifically directed toward, designed for, or intended to be used with a particular language.
-
D.
secondaryLanguageContext
Indicates that the associated information, interaction, or content occurs within or is tailored to a secondary (non-primary) language setting or usage context.
-
E.
navigationLanguage
Indicates the language used for navigation-related content, such as menus, directions, or interface controls.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: April 28, 2026, 4:49 p.m.