Triple
T11912307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard German |
E283424
|
entity |
| Predicate | spokenAlongside |
P24200
|
FINISHED |
| Object | German dialects |
—
|
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: German dialects | Statement: [Standard German, spokenAlongside, German dialects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenAlongside Context triple: [Standard German, spokenAlongside, German dialects]
-
A.
playedAlongside
Indicates that two or more entities participated together at the same time in a shared activity, performance, or event.
-
B.
spokenAlong
chosen
Indicates that two or more languages are used concurrently or within the same context in a particular place, time, or situation.
-
C.
appearsAlongside
Indicates that two entities are present or occur together in the same context, setting, or instance.
-
D.
isSpokenAlong
Indicates that something (typically a language or dialect) is used or spoken in the regions or areas that follow a particular path, boundary, or route.
-
E.
builtAlongside
Indicates that one entity was constructed next to or in parallel with another entity, typically during the same or a closely related time period.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e528f6748190ac873a040a61fa93 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.