Triple
T10988295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhön-Grabfeld |
E259686
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Rannungen
Rannungen is a small municipality in the Bavarian region of Germany, situated within the rural district of Rhön-Grabfeld.
|
E898353
|
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: Rannungen | Statement: [Rhön-Grabfeld, contains, Rannungen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rannungen Context triple: [Rhön-Grabfeld, contains, Rannungen]
-
A.
Rannells
Rannells is the surname of American actor and singer Andrew Rannells, known for his work in Broadway musicals and television.
-
B.
Rombaken
Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
-
C.
Rælingen
Rælingen is a municipality in Viken county, Norway, known for its proximity to Oslo and its mix of residential areas, forests, and lakes.
-
D.
Mo i Rana
Mo i Rana is an industrial town in Nordland county, Norway, known for its steel industry, proximity to the Arctic Circle, and role as a regional hub in Northern Norway.
-
E.
Rycken
Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
- 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: Rannungen Triple: [Rhön-Grabfeld, contains, Rannungen]
Generated description
Rannungen is a small municipality in the Bavarian region of Germany, situated within the rural district of Rhön-Grabfeld.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rannungen Target entity description: Rannungen is a small municipality in the Bavarian region of Germany, situated within the rural district of Rhön-Grabfeld.
-
A.
Rannells
Rannells is the surname of American actor and singer Andrew Rannells, known for his work in Broadway musicals and television.
-
B.
Rombaken
Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
-
C.
Rælingen
Rælingen is a municipality in Viken county, Norway, known for its proximity to Oslo and its mix of residential areas, forests, and lakes.
-
D.
Mo i Rana
Mo i Rana is an industrial town in Nordland county, Norway, known for its steel industry, proximity to the Arctic Circle, and role as a regional hub in Northern Norway.
-
E.
Rycken
Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
- 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.