Triple
T22214105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhenish pitch accent |
E549030
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Rheinischer Akzent
Rheinischer Akzent is a distinctive pitch-accent prosodic pattern found in several West Central German dialects spoken along the Rhine.
|
E1524541
|
NE FINISHED |
How this triple was built (4 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: Rheinischer Akzent | Statement: [Rhenish pitch accent, hasAlternativeName, Rheinischer Akzent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rheinischer Akzent Context triple: [Rhenish pitch accent, hasAlternativeName, Rheinischer Akzent]
-
A.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
-
B.
Rheinlegendchen
Rheinlegendchen is a light, folk-like art song by Gustav Mahler, based on a poem from the German folk poetry collection "Des Knaben Wunderhorn."
-
C.
Au am Rhein
Au am Rhein is a small municipality in southwestern Germany located on the Rhine River near the French border.
-
D.
Bad Lippspringe
Bad Lippspringe is a spa town in North Rhine-Westphalia, Germany, known for its therapeutic springs and health resorts.
-
E.
Oben am jungen Rhein
"Oben am jungen Rhein" is the national anthem of Liechtenstein, a patriotic song celebrating the country’s identity and landscape.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rheinischer Akzent Triple: [Rhenish pitch accent, hasAlternativeName, Rheinischer Akzent]
Generated description
Rheinischer Akzent is a distinctive pitch-accent prosodic pattern found in several West Central German dialects spoken along the Rhine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rheinischer Akzent Target entity description: Rheinischer Akzent is a distinctive pitch-accent prosodic pattern found in several West Central German dialects spoken along the Rhine.
-
A.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
-
B.
Rheinlegendchen
Rheinlegendchen is a light, folk-like art song by Gustav Mahler, based on a poem from the German folk poetry collection "Des Knaben Wunderhorn."
-
C.
Au am Rhein
Au am Rhein is a small municipality in southwestern Germany located on the Rhine River near the French border.
-
D.
Bad Lippspringe
Bad Lippspringe is a spa town in North Rhine-Westphalia, Germany, known for its therapeutic springs and health resorts.
-
E.
Oben am jungen Rhein
"Oben am jungen Rhein" is the national anthem of Liechtenstein, a patriotic song celebrating the country’s identity and landscape.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aa620e0b48190ba80ddcd0abf8c96 |
completed | May 18, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_6a0aa794f2cc8190889e0eeb2a22f376 |
completed | May 18, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa7f7a13481908ab0bf80e1d7dfe1 |
completed | May 18, 2026, 5:47 a.m. |
Created at: April 16, 2026, 8:37 p.m.