Triple
T7291635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menzingen, Switzerland |
E164409
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Unterägeri
Unterägeri is a Swiss municipality in the canton of Zug, known for its scenic location by Lake Ägeri and surrounding pre-Alpine landscapes.
|
E654280
|
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: Unterägeri | Statement: [Menzingen, Switzerland, hasNeighboringMunicipality, Unterägeri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unterägeri Context triple: [Menzingen, Switzerland, hasNeighboringMunicipality, Unterägeri]
-
A.
Obergerlafingen
Obergerlafingen is a small municipality in the canton of Solothurn in northwestern Switzerland.
-
B.
Schnaittach
Schnaittach is a river in Bavaria, Germany, that serves as a tributary of the Pegnitz River.
-
C.
Ittigen
Ittigen is a municipality in the canton of Bern in Switzerland that functions largely as a suburban community within the greater Bern urban region.
-
D.
Uttigen
Uttigen is a small municipality in the canton of Bern, Switzerland, situated along the Aare River between Bern and Thun.
-
E.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
- 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: Unterägeri Triple: [Menzingen, Switzerland, hasNeighboringMunicipality, Unterägeri]
Generated description
Unterägeri is a Swiss municipality in the canton of Zug, known for its scenic location by Lake Ägeri and surrounding pre-Alpine landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Unterägeri Target entity description: Unterägeri is a Swiss municipality in the canton of Zug, known for its scenic location by Lake Ägeri and surrounding pre-Alpine landscapes.
-
A.
Obergerlafingen
Obergerlafingen is a small municipality in the canton of Solothurn in northwestern Switzerland.
-
B.
Schnaittach
Schnaittach is a river in Bavaria, Germany, that serves as a tributary of the Pegnitz River.
-
C.
Ittigen
Ittigen is a municipality in the canton of Bern in Switzerland that functions largely as a suburban community within the greater Bern urban region.
-
D.
Uttigen
Uttigen is a small municipality in the canton of Bern, Switzerland, situated along the Aare River between Bern and Thun.
-
E.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
- 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_69c7db4c04108190aeaa482e93482d02 |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7dc30bfd48190aa5d188471a3741d |
completed | March 28, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dc87994c81908e8f719741b8f3c8 |
completed | March 28, 2026, 1:49 p.m. |
Created at: March 27, 2026, 3 p.m.