Triple
T287984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Government of Belgium |
E5926
|
entity |
| Predicate | languageRegime |
P3950
|
FINISHED |
| Object | Dutch |
—
|
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: Dutch | Statement: [Federal Government of Belgium, languageRegime, Dutch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageRegime Context triple: [Federal Government of Belgium, languageRegime, Dutch]
-
A.
languageZone
chosen
Indicates the linguistic region or area in which a language is predominantly used or officially recognized.
-
B.
languageVariant
Indicates that one language is a variant, dialect, or localized form of another language.
-
C.
languageForm
Indicates the specific linguistic form or expression in which something is conveyed or represented.
-
D.
languageFamilyCode
Indicates the language family to which a given language belongs, represented by a standardized code.
-
E.
languageShift
Indicates a change in the primary language used by an entity, such as switching from one language to another over time or in a given 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e2f5c0081908e548b314f5e986d |
completed | Feb. 28, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69a25b7c1448819082064f474633acd5 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.