Triple
T11012914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishopric of Radevormwald |
E260286
|
entity |
| Predicate | languageStatusOfMiddleDutch |
P35871
|
FINISHED |
| Object | primary administrative language |
—
|
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: primary administrative language | Statement: [Bishopric of Radevormwald, languageStatusOfMiddleDutch, primary administrative language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageStatusOfMiddleDutch Context triple: [Bishopric of Radevormwald, languageStatusOfMiddleDutch, primary administrative language]
-
A.
hasNameInDutch
Indicates that an entity is associated with a specific name or label expressed in the Dutch language.
-
B.
hasLaterDutchName
Indicates that an entity was known by a different Dutch name at a later time than its original or earlier Dutch name.
-
C.
ethnicLanguageStatus
chosen
Indicates the status or role of a language in relation to a particular ethnic group (e.g., primary, secondary, heritage, or minority language).
-
D.
nationalLanguageStatus
Indicates that a language holds official or nationally recognized status within a country or political entity.
-
E.
languageStatusSource
Indicates the source or authority from which the information about a language’s status is derived.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978b1e888190b297f107f6021b59 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.