Triple
T7291634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menzingen, Switzerland |
E164409
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Neuheim
Neuheim is a small Swiss municipality in the canton of Zug, known for its rural character and proximity to larger economic centers.
|
E686799
|
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: Neuheim | Statement: [Menzingen, Switzerland, hasNeighboringMunicipality, Neuheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neuheim Context triple: [Menzingen, Switzerland, hasNeighboringMunicipality, Neuheim]
-
A.
Neudorf
Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
-
B.
Schweinheim
Schweinheim is a residential district within the Bad Godesberg borough of Bonn in western Germany.
-
C.
Neusatz
Neusatz is the historical German name for the Serbian city of Novi Sad, a major cultural and economic center on the Danube River.
-
D.
Neuendorf
Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
-
E.
Heiningen
Heiningen is a small municipality in the German state of Baden-Württemberg, historically notable as the birthplace of Archbishop-Elector Gebhard Truchsess von Waldburg.
- 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: Neuheim Triple: [Menzingen, Switzerland, hasNeighboringMunicipality, Neuheim]
Generated description
Neuheim is a small Swiss municipality in the canton of Zug, known for its rural character and proximity to larger economic centers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neuheim Target entity description: Neuheim is a small Swiss municipality in the canton of Zug, known for its rural character and proximity to larger economic centers.
-
A.
Neudorf
Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
-
B.
Schweinheim
Schweinheim is a residential district within the Bad Godesberg borough of Bonn in western Germany.
-
C.
Neusatz
Neusatz is the historical German name for the Serbian city of Novi Sad, a major cultural and economic center on the Danube River.
-
D.
Neuendorf
Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
-
E.
Heiningen
Heiningen is a small municipality in the German state of Baden-Württemberg, historically notable as the birthplace of Archbishop-Elector Gebhard Truchsess von Waldburg.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb6e8f3881908628b3d41aad70c6 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7adaf3c819095214864b91316f6 |
completed | March 29, 2026, 6:33 a.m. |
| NEDg | Description generation | batch_69c8c8e3da1c81909088b3769e2dd8d9 |
completed | March 29, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c95056f08190885f3a2ebaa8a1db |
completed | March 29, 2026, 6:40 a.m. |
Created at: March 27, 2026, 3 p.m.