Triple
T147295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old High German |
E3358
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Alemannic regions |
E17970
|
NE 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: Alemannic regions | Statement: [Old High German, spokenIn, Alemannic regions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alemannic regions Context triple: [Old High German, spokenIn, Alemannic regions]
-
A.
Middle Franconia
Middle Franconia is an administrative region in the German state of Bavaria, known for cities such as Nuremberg, Erlangen, and Fürth.
-
B.
Franconia
Franconia is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
-
C.
Alemannic German
chosen
Alemannic German is a group of Upper German dialects spoken primarily in parts of Switzerland, Germany, Austria, and Liechtenstein.
-
D.
German-speaking Europe
German-speaking Europe is the cultural and linguistic region of Europe where German is the dominant language, primarily encompassing Germany, Austria, parts of Switzerland, and neighboring areas.
-
E.
Hesse
Hesse is a federal state in central Germany known for its financial hub Frankfurt am Main and its mix of urban centers, forests, and historic towns.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a257eba6188190a3cf99c91bf3038f |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2d0c4cae881909e954f12d5bb9672 |
completed | Feb. 28, 2026, 11:25 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.