Triple
T8029782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parlamentarium |
E186946
|
entity |
| Predicate | multilingualSupport |
P11998
|
FINISHED |
| Object | 24 EU official languages |
—
|
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: 24 EU official languages | Statement: [Parlamentarium, multilingualSupport, 24 EU official languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: multilingualSupport Context triple: [Parlamentarium, multilingualSupport, 24 EU official languages]
-
A.
isMultilingual
Indicates that an entity can understand and/or communicate in multiple languages.
-
B.
supportsInternationalization
chosen
Indicates that an entity provides functionality or features that enable use across multiple languages, locales, or regional formats.
-
C.
languageIndependence
Indicates that a concept, method, or representation does not depend on any specific programming or natural language and can be applied uniformly across different languages.
-
D.
originalLanguageSupport
Indicates that one entity provides or maintains functionality, content, or interaction in the original language of another entity.
-
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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ecf0f2c819091899211003c461e |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:21 p.m.