Triple
T6130705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishopric of Tholen |
E136709
|
entity |
| Predicate | vernacularLanguageRegion |
P29819
|
FINISHED |
| Object | Dutch-speaking area of the Low Countries |
—
|
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-speaking area of the Low Countries | Statement: [Bishopric of Tholen, vernacularLanguageRegion, Dutch-speaking area of the Low Countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vernacularLanguageRegion Context triple: [Bishopric of Tholen, vernacularLanguageRegion, Dutch-speaking area of the Low Countries]
-
A.
regionLanguage
Indicates that a particular language is used or officially recognized within a specific geographic region.
-
B.
regionOfMajorLanguage
Indicates the geographic region where a particular language is predominantly spoken or holds major usage.
-
C.
languageArea
chosen
Indicates the geographic or cultural region in which a particular language is used or predominantly spoken.
-
D.
motherTongueRegion
Indicates the geographic region where an entity’s native or primary language is predominantly spoken or originates.
-
E.
alsoInLanguageRegion
Indicates that two or more entities are located within or associated with the same language-defined geographic 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c4de9c48190b98f67a6251ec1df |
completed | March 22, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c055f19b0c81908be34a00ab218723 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:15 p.m.