Triple
T37516932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIVB |
E932657
|
entity |
| Predicate | operatesInLanguageRegime |
P18404
|
FINISHED |
| Object | bilingual French–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: bilingual French–Dutch | Statement: [MIVB, operatesInLanguageRegime, bilingual French–Dutch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInLanguageRegime Context triple: [MIVB, operatesInLanguageRegime, bilingual French–Dutch]
-
A.
partOfLanguageRegime
Indicates that one element functions as a component or constituent within a broader language regime or linguistic governance framework.
-
B.
hasPrimaryLanguageOfOperations
Indicates that an entity conducts its main activities or operations primarily using a specified language.
-
C.
isWorkingLanguageOf
chosen
Indicates that a particular language is officially used as a medium of work, communication, or operation within a specified organization, institution, or context.
-
D.
languageOfCurrentAdministration
Indicates the language currently used by the governing or administrative authority in charge.
-
E.
governingLanguage
Indicates the language that holds official or authoritative status over a given entity, such as a region, organization, or document.
- 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0302d9d2d88190b20429530775b035 |
completed | May 12, 2026, 10:37 a.m. |
| PD | Predicate disambiguation | batch_6a0302289128819085428f3d544c2fb9 |
completed | May 12, 2026, 10:34 a.m. |
Created at: May 3, 2026, 4:17 p.m.