Triple
T11029413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hessian |
E260718
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Frankfurt dialect |
E21394
|
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: Frankfurt dialect | Statement: [Hessian, hasDialect, Frankfurt dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frankfurt dialect Context triple: [Hessian, hasDialect, Frankfurt dialect]
-
A.
Nuremberg dialect
The Nuremberg dialect is a regional variety of East Franconian German traditionally spoken in and around the city of Nuremberg in Bavaria.
-
B.
Rhenish Franconian
chosen
Rhenish Franconian is a group of West Central German dialects spoken primarily in parts of western Germany, Luxembourg, and eastern France.
-
C.
South Franconian German
South Franconian German is a regional Upper German dialect spoken primarily in parts of southwestern Germany, notably around the northern Baden-Württemberg area.
-
D.
Bamberg dialect
The Bamberg dialect is a regional variety of the East Franconian German dialect spoken in and around the city of Bamberg in northern Bavaria.
-
E.
Kölsch dialect
The Kölsch dialect is a regional variety of the German language spoken in and around Cologne, known for its distinct pronunciation, vocabulary, and strong cultural identity.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797d2feb881909a5684721e8b0d9c |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a997d7bc8190982467039e0f5504 |
completed | April 18, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:25 p.m.