Triple
T22214106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhenish pitch accent |
E549030
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Rheinische Tonakzent |
—
|
NE NERFINISHED |
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: Rheinische Tonakzent | Statement: [Rhenish pitch accent, hasAlternativeName, Rheinische Tonakzent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rheinische Tonakzent Context triple: [Rhenish pitch accent, hasAlternativeName, Rheinische Tonakzent]
-
A.
Rheinischer Akzent
Rheinischer Akzent is a distinctive pitch-accent prosodic pattern found in several West Central German dialects spoken along the Rhine.
-
B.
Rhenish pitch accent
chosen
Rhenish pitch accent is a prosodic feature of certain West Central German dialects in which word meaning can depend on distinctive pitch patterns.
-
C.
Schwäbische Rezat
The Schwäbische Rezat is a river in the German state of Bavaria that flows through the Franconian region, including the town of Weißenburg in Bayern.
-
D.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
-
E.
Hohneck
Hohneck is one of the highest peaks in the Vosges Mountains of northeastern France, known for its panoramic views and popular hiking and skiing opportunities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8b13f8819099ed8bebbfea3bc8 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.