Triple
T1112559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limburgish (Dutch variety) |
E11026
|
entity |
| Predicate | linguisticBoundary |
P10344
|
FINISHED |
| Object | Benrath line vicinity |
—
|
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: Benrath line vicinity | Statement: [Limburgish (Dutch variety), linguisticBoundary, Benrath line vicinity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticBoundary Context triple: [Limburgish (Dutch variety), linguisticBoundary, Benrath line vicinity]
-
A.
languageBorderInvolved
Indicates that a situation, event, or relationship involves or is affected by a boundary between different languages or linguistic communities.
-
B.
linguisticArea
Indicates a regional context in which languages share features due to geographic proximity and contact rather than common genetic origin.
-
C.
sharesIsoglossWith
chosen
Indicates that two linguistic varieties share a common isogloss, i.e., they exhibit the same geographically bounded linguistic feature or boundary.
-
D.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
E.
linguisticType
Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.