Triple
T31434305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MWV Q 10 |
E801882
|
entity |
| Predicate | languageOfCatalogueAcronym |
P87558
|
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: [MWV Q 10, languageOfCatalogueAcronym, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfCatalogueAcronym Context triple: [MWV Q 10, languageOfCatalogueAcronym, German]
-
A.
languageOfCatalogueTitle
Indicates the language in which a catalogue’s title is expressed.
-
B.
primaryLanguageOfCataloguing
chosen
Indicates the language primarily used to create or record the entries in a catalog.
-
C.
officialLanguageAbbreviation
Indicates that one language’s abbreviated form is officially recognized for use within a given jurisdiction, organization, or context.
-
D.
hasAcronymVariantLanguage
Indicates that a language has an alternative form represented as an acronym variant.
-
E.
languageOfCodes
Indicates that a particular language is used for or associated with a given set of codes.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff7dcedab08190a719a707d03306e2 |
completed | May 9, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69ff7d0119348190ad462554e81190fe |
completed | May 9, 2026, 6:29 p.m. |
Created at: April 30, 2026, 9 p.m.