Triple
T6773651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 4 TEU |
E155100
|
entity |
| Predicate | languageVersionCount |
P16369
|
FINISHED |
| Object | 24 official EU language versions |
—
|
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 official EU language versions | Statement: [Article 4 TEU, languageVersionCount, 24 official EU language versions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageVersionCount Context triple: [Article 4 TEU, languageVersionCount, 24 official EU language versions]
-
A.
languageVersions
Indicates a relationship where one entity represents a specific version or variant of a language associated with another entity.
-
B.
hasVersionCount
chosen
Indicates the total number of distinct versions associated with a given entity.
-
C.
supportsLanguageVersion
Indicates that one entity provides compatibility with, or can correctly operate using, a specified version of a language.
-
D.
currentNumberOfLanguages
Indicates the present count of distinct languages associated with or used by a given entity.
-
E.
officialLanguageVersion
Indicates that one language variant is the officially recognized form or version used for formal or administrative purposes in relation to another language or context.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24c1b088190b99e9264b9b03dd8 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:13 p.m.