Triple
T10988269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhön-Grabfeld |
E259686
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mellrichstadt
Mellrichstadt is a small town in northern Bavaria, Germany, known for its historic town center and location near the Rhön Mountains.
|
E898340
|
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: Mellrichstadt | Statement: [Rhön-Grabfeld, contains, Mellrichstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mellrichstadt Context triple: [Rhön-Grabfeld, contains, Mellrichstadt]
-
A.
Methuen
Methuen is a British publishing house known for producing academic, educational, and literary works.
-
B.
Leominster
Leominster is a historic market town in Herefordshire, England, known for its medieval architecture and agricultural heritage.
-
C.
Hopedale
Hopedale is a remote Inuit community on the northern coast of Labrador, Canada, known as one of the principal settlements within the Inuit self-governing region of Nunatsiavut.
-
D.
Fitchburg
Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
-
E.
Thomaston
Thomaston is a small city in central Georgia, United States, known for its historic downtown and role as a local commercial and cultural hub.
- 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: Mellrichstadt Triple: [Rhön-Grabfeld, contains, Mellrichstadt]
Generated description
Mellrichstadt is a small town in northern Bavaria, Germany, known for its historic town center and location near the Rhön Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mellrichstadt Target entity description: Mellrichstadt is a small town in northern Bavaria, Germany, known for its historic town center and location near the Rhön Mountains.
-
A.
Methuen
Methuen is a British publishing house known for producing academic, educational, and literary works.
-
B.
Leominster
Leominster is a historic market town in Herefordshire, England, known for its medieval architecture and agricultural heritage.
-
C.
Hopedale
Hopedale is a remote Inuit community on the northern coast of Labrador, Canada, known as one of the principal settlements within the Inuit self-governing region of Nunatsiavut.
-
D.
Fitchburg
Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
-
E.
Thomaston
Thomaston is a small city in central Georgia, United States, known for its historic downtown and role as a local commercial and cultural hub.
- 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.