Triple
T10307116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forchheim district |
E241792
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Neunkirchen am Brand
Neunkirchen am Brand is a market town in northern Bavaria, Germany, known for its historic center and location near the city of Erlangen.
|
E854373
|
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: Neunkirchen am Brand | Statement: [Forchheim district, containsTown, Neunkirchen am Brand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neunkirchen am Brand Context triple: [Forchheim district, containsTown, Neunkirchen am Brand]
-
A.
Neunkirchen
Neunkirchen is an industrial town in Austria’s Lower Austria region, known historically for its manufacturing and metalworking industries.
-
B.
Neunkirchen
Neunkirchen is a town in southwestern Germany known as one of the major urban centers and former industrial hubs of the state of Saarland.
-
C.
Unterneukirchen
Unterneukirchen is a municipality in the Altötting district of Bavaria, Germany, known for its rural character and location in southeastern Upper Bavaria.
-
D.
Neukirchen
Neukirchen is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
E.
Neukirchen
Neukirchen is a village-level subdivision of the town of Braunfels in the state of Hesse, Germany.
- 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: Neunkirchen am Brand Triple: [Forchheim district, containsTown, Neunkirchen am Brand]
Generated description
Neunkirchen am Brand is a market town in northern Bavaria, Germany, known for its historic center and location near the city of Erlangen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neunkirchen am Brand Target entity description: Neunkirchen am Brand is a market town in northern Bavaria, Germany, known for its historic center and location near the city of Erlangen.
-
A.
Neunkirchen
Neunkirchen is an industrial town in Austria’s Lower Austria region, known historically for its manufacturing and metalworking industries.
-
B.
Neunkirchen
Neunkirchen is a town in southwestern Germany known as one of the major urban centers and former industrial hubs of the state of Saarland.
-
C.
Unterneukirchen
Unterneukirchen is a municipality in the Altötting district of Bavaria, Germany, known for its rural character and location in southeastern Upper Bavaria.
-
D.
Neukirchen
Neukirchen is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
E.
Neukirchen
Neukirchen is a village-level subdivision of the town of Braunfels in the state of Hesse, Germany.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30a6c888190acdd0a645247736a |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d60be1481909dc1330f150e3897 |
completed | April 9, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69d73185266481909e79eddc33469d8d |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d73279922c8190b616e1a61df4d227 |
completed | April 9, 2026, 5 a.m. |
Created at: April 6, 2026, 11:46 a.m.