Triple
T33886124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 90 of the Treaty establishing the European Community |
E868637
|
entity |
| Predicate | hasLanguageVersionsIn |
P35567
|
FINISHED |
| Object | all official languages of the European Community |
—
|
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: all official languages of the European Community | Statement: [Article 90 of the Treaty establishing the European Community, hasLanguageVersionsIn, all official languages of the European Community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageVersionsIn Context triple: [Article 90 of the Treaty establishing the European Community, hasLanguageVersionsIn, all official languages of the European Community]
-
A.
hasBilingualVersions
Indicates that something exists in two different language versions or forms.
-
B.
hasLanguages
chosen
Indicates that an entity is associated with one or more languages it uses, supports, or is expressed in.
-
C.
hasLanguageOn
Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
-
D.
hasMultipleVersions
Indicates that an entity exists in more than one distinct version or revision.
-
E.
hasRelatedLanguage
Indicates that one language is related to another through shared linguistic origins, features, or classification.
- 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_69f34996761c8190864e42f7c9cf215b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff0e9c75208190a4423261f00b79b3 |
completed | May 9, 2026, 10:38 a.m. |
| PD | Predicate disambiguation | batch_69ff0e07f08481909c4ae322632a6bf0 |
completed | May 9, 2026, 10:35 a.m. |
Created at: May 1, 2026, 1:48 a.m.