Triple
T9935491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilmès II Government |
E192748
|
entity |
| Predicate | languageCommunityContext |
P5562
|
FINISHED |
| Object | bilingual French–Dutch federal government |
—
|
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: bilingual French–Dutch federal government | Statement: [Wilmès II Government, languageCommunityContext, bilingual French–Dutch federal government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageCommunityContext Context triple: [Wilmès II Government, languageCommunityContext, bilingual French–Dutch federal government]
-
A.
languageLocalCommunities
Indicates that a language is used, maintained, or holds significance within specific local communities or regions.
-
B.
hasLanguageCommunity
chosen
Indicates that an entity is associated with or serves a particular language community.
-
C.
ethnicCommunityBase
Indicates that an ethnic community is based in, originates from, or is primarily associated with a particular place or area.
-
D.
languageDiversity
Indicates the degree to which multiple distinct languages are present and used within a given context or population.
-
E.
languageFamilyContext
Indicates the broader linguistic family or grouping within which a particular language or linguistic element is situated.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e3bfa88190a88f20f2687a2583 |
completed | April 2, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:44 p.m.