Triple
T18128376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landkreis Neustadt an der Aisch-Bad Windsheim |
E433942
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Emskirchen
Emskirchen is a market town in the Bavarian region of Middle Franconia in Germany.
|
E1308445
|
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: Emskirchen | Statement: [Landkreis Neustadt an der Aisch-Bad Windsheim, hasMunicipality, Emskirchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emskirchen Context triple: [Landkreis Neustadt an der Aisch-Bad Windsheim, hasMunicipality, Emskirchen]
-
A.
Lorenzkirch
Lorenzkirch is a small village in Saxony, Germany, known historically as the birthplace of Nobel Prize–winning physicist Wolfgang Paul.
-
B.
Lenzkirch
Lenzkirch is a small spa and holiday town in Germany’s Black Forest region, known for its scenic landscapes and outdoor recreation.
-
C.
Tecklenburg
Tecklenburg is a historic small town in North Rhine-Westphalia, Germany, known for its medieval architecture and open-air theater.
-
D.
Neukirchen
Neukirchen is a village-level subdivision of the town of Braunfels in the state of Hesse, Germany.
-
E.
Neukirchen
Neukirchen is a village and cadastral community that forms part of the market town of Altmünster in Upper Austria.
- 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: Emskirchen Triple: [Landkreis Neustadt an der Aisch-Bad Windsheim, hasMunicipality, Emskirchen]
Generated description
Emskirchen is a market town in the Bavarian region of Middle Franconia in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emskirchen Target entity description: Emskirchen is a market town in the Bavarian region of Middle Franconia in Germany.
-
A.
Lorenzkirch
Lorenzkirch is a small village in Saxony, Germany, known historically as the birthplace of Nobel Prize–winning physicist Wolfgang Paul.
-
B.
Lenzkirch
Lenzkirch is a small spa and holiday town in Germany’s Black Forest region, known for its scenic landscapes and outdoor recreation.
-
C.
Tecklenburg
Tecklenburg is a historic small town in North Rhine-Westphalia, Germany, known for its medieval architecture and open-air theater.
-
D.
Neukirchen
Neukirchen is a village-level subdivision of the town of Braunfels in the state of Hesse, Germany.
-
E.
Neukirchen
Neukirchen is a village and cadastral community that forms part of the market town of Altmünster in Upper Austria.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf061b48190b67356f1c266b80a |
completed | April 19, 2026, 1:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038543ec98819080e1bb3981634ecb |
completed | May 12, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_6a0389649bac8190bb5f189e562ab8c3 |
completed | May 12, 2026, 8:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0389eb3928819080b6d257698e662c |
completed | May 12, 2026, 8:13 p.m. |
Created at: April 10, 2026, 10:29 a.m.