Triple
T31394483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MWV O 14 |
E800827
|
entity |
| Predicate | languageOfCatalogueAbbreviation |
P60896
|
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 O 14, languageOfCatalogueAbbreviation, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfCatalogueAbbreviation Context triple: [MWV O 14, languageOfCatalogueAbbreviation, German]
-
A.
languageOfCatalogueTitle
Indicates the language in which a catalogue’s title is expressed.
-
B.
catalogueAbbreviation
chosen
Indicates that one entity is used as the standardized abbreviated form of another entity within a catalogue or cataloging system.
-
C.
officialLanguageAbbreviation
Indicates that one language’s abbreviated form is officially recognized for use within a given jurisdiction, organization, or context.
-
D.
languageOfLocalShortName
Indicates the language in which a local or short-form name for an entity is expressed.
-
E.
languageOfTranslations
Indicates that one entity is the language into which another entity (such as a text or work) has been translated.
- 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69ff79e7206c8190a809b5f2a6261378 |
completed | May 9, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69ff798356b881908645074fb3a96517 |
completed | May 9, 2026, 6:14 p.m. |
Created at: April 29, 2026, 9:19 p.m.