Triple
T10988274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhön-Grabfeld |
E259686
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Salz (Rhön-Grabfeld)
Salz (Rhön-Grabfeld) is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
|
E898344
|
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: Salz (Rhön-Grabfeld) | Statement: [Rhön-Grabfeld, contains, Salz (Rhön-Grabfeld)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salz (Rhön-Grabfeld) Context triple: [Rhön-Grabfeld, contains, Salz (Rhön-Grabfeld)]
-
A.
Salzatal
Salzatal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany, known for its rural character and location along the Saale valley.
-
B.
Saaleck
Saaleck is a small locality in Germany, historically notable as the birthplace of the pioneering Protestant theologian Johann Salomo Semler.
-
C.
Albersloh
Albersloh is a village in North Rhine-Westphalia, Germany, known for its rural character and location along the Werse River.
-
D.
Schwarzenbach an der Saale
Schwarzenbach an der Saale is a small town in northeastern Bavaria, Germany, situated on the Saale River and known for its picturesque setting and regional industry.
-
E.
Bad Salzungen
Bad Salzungen is a spa town in Thuringia, Germany, known for its saline springs and therapeutic health resorts.
- 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: Salz (Rhön-Grabfeld) Triple: [Rhön-Grabfeld, contains, Salz (Rhön-Grabfeld)]
Generated description
Salz (Rhön-Grabfeld) is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salz (Rhön-Grabfeld) Target entity description: Salz (Rhön-Grabfeld) is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
A.
Salzatal
Salzatal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany, known for its rural character and location along the Saale valley.
-
B.
Saaleck
Saaleck is a small locality in Germany, historically notable as the birthplace of the pioneering Protestant theologian Johann Salomo Semler.
-
C.
Albersloh
Albersloh is a village in North Rhine-Westphalia, Germany, known for its rural character and location along the Werse River.
-
D.
Schwarzenbach an der Saale
Schwarzenbach an der Saale is a small town in northeastern Bavaria, Germany, situated on the Saale River and known for its picturesque setting and regional industry.
-
E.
Bad Salzungen
Bad Salzungen is a spa town in Thuringia, Germany, known for its saline springs and therapeutic health resorts.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b574d08190adec34b814a26437 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344f95ab88190bbce8f0eab0b2713 |
completed | April 18, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e3556e8b408190a02a1fe194ae5750 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3591ecd548190b049ce95fe3f86d9 |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:24 p.m.