Triple
T10988296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhön-Grabfeld |
E259686
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Niederlauer
Niederlauer is a small municipality in northern Bavaria, Germany, situated in the Franconian Saale valley and known for its rural character within the Rhön region.
|
E898354
|
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: Niederlauer | Statement: [Rhön-Grabfeld, contains, Niederlauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niederlauer Context triple: [Rhön-Grabfeld, contains, Niederlauer]
-
A.
Gelderlander
Gelderlander is a regional Dutch newspaper based in the province of Gelderland.
-
B.
Nederasselt
Nederasselt is a village in the Dutch province of Gelderland, located within the municipality of Heumen.
-
C.
Arnhemmer
An Arnhemmer is a resident or native of the Dutch city of Arnhem in the province of Gelderland.
-
D.
Boesinghe
Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
-
E.
Neder-Betuwe
Neder-Betuwe is a municipality in the Dutch province of Gelderland, known for its rural landscape, fruit cultivation, and location along the rivers Waal and Rhine.
- 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: Niederlauer Triple: [Rhön-Grabfeld, contains, Niederlauer]
Generated description
Niederlauer is a small municipality in northern Bavaria, Germany, situated in the Franconian Saale valley and known for its rural character within the Rhön region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niederlauer Target entity description: Niederlauer is a small municipality in northern Bavaria, Germany, situated in the Franconian Saale valley and known for its rural character within the Rhön region.
-
A.
Gelderlander
Gelderlander is a regional Dutch newspaper based in the province of Gelderland.
-
B.
Nederasselt
Nederasselt is a village in the Dutch province of Gelderland, located within the municipality of Heumen.
-
C.
Arnhemmer
An Arnhemmer is a resident or native of the Dutch city of Arnhem in the province of Gelderland.
-
D.
Boesinghe
Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
-
E.
Neder-Betuwe
Neder-Betuwe is a municipality in the Dutch province of Gelderland, known for its rural landscape, fruit cultivation, and location along the rivers Waal and Rhine.
- 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.