Triple
T7291633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menzingen, Switzerland |
E164409
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Baar
Baar is a municipality in the canton of Zug in central Switzerland, known for its favorable tax environment and mix of residential areas and international businesses.
|
E654279
|
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: Baar | Statement: [Menzingen, Switzerland, hasNeighboringMunicipality, Baar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baar Context triple: [Menzingen, Switzerland, hasNeighboringMunicipality, Baar]
-
A.
Barcha
Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
-
B.
Bar
Bar is a coastal city and major seaport in southern Montenegro on the Adriatic Sea.
-
C.
Baer
Baer is a surname most notably associated with American actor and boxer Max Baer Sr.
-
D.
Barkarby
Barkarby is a suburban district in the Stockholm urban area of Sweden, known for its residential neighborhoods, retail outlets, and the former Barkarby Airport site.
-
E.
Barooga
Barooga is a small town in southern New South Wales, Australia, known for its Murray River location and recreational attractions such as golf courses and riverfront activities.
- 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: Baar Triple: [Menzingen, Switzerland, hasNeighboringMunicipality, Baar]
Generated description
Baar is a municipality in the canton of Zug in central Switzerland, known for its favorable tax environment and mix of residential areas and international businesses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baar Target entity description: Baar is a municipality in the canton of Zug in central Switzerland, known for its favorable tax environment and mix of residential areas and international businesses.
-
A.
Barcha
Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
-
B.
Bar
Bar is a coastal city and major seaport in southern Montenegro on the Adriatic Sea.
-
C.
Baer
Baer is a surname most notably associated with American actor and boxer Max Baer Sr.
-
D.
Barkarby
Barkarby is a suburban district in the Stockholm urban area of Sweden, known for its residential neighborhoods, retail outlets, and the former Barkarby Airport site.
-
E.
Barooga
Barooga is a small town in southern New South Wales, Australia, known for its Murray River location and recreational attractions such as golf courses and riverfront activities.
- 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.