Triple
T27273116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wezembeek-Oppem |
E688109
|
entity |
| Predicate | hasMinorityLanguageFacilities |
P101845
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Wezembeek-Oppem, hasMinorityLanguageFacilities, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinorityLanguageFacilities Context triple: [Wezembeek-Oppem, hasMinorityLanguageFacilities, French]
-
A.
hasMinorityLanguageServices
chosen
Indicates that an entity provides services specifically tailored for speakers of minority or less widely used languages.
-
B.
minorityLanguagePolicy
Indicates a policy or set of rules governing the recognition, protection, and use of languages spoken by minority groups within a larger political or social context.
-
C.
usedForMinorityLanguage
Indicates that something is employed or designated specifically for use with a minority language.
-
D.
areMinorityLanguagesIn
Indicates that the subject languages are minority (non-dominant) languages within the specified region, country, or larger linguistic context.
-
E.
linguisticMinorityIn
Indicates that a group or population constitutes a linguistic minority within a specified geographic or political region.
- 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_69ef3558cf8881909595ef89daf6e14a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 27, 2026, 11 a.m.