Triple
T23282976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stans |
E588915
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Ennetmoos
Ennetmoos is a small Swiss municipality in the canton of Nidwalden, known for its rural character and scenic Alpine surroundings.
|
E1578161
|
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: Ennetmoos | Statement: [Stans, hasNeighboringMunicipality, Ennetmoos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ennetmoos Context triple: [Stans, hasNeighboringMunicipality, Ennetmoos]
-
A.
Ennetbürgen
Ennetbürgen is a Swiss lakeside municipality known for its scenic location on Lake Lucerne and proximity to Mount Bürgenstock in central Switzerland.
-
B.
Bürmoos
Bürmoos is a small Austrian municipality located in the state of Salzburg, known for its residential character and proximity to the city of Salzburg.
-
C.
Mettmenstetten
Mettmenstetten is a municipality in the canton of Zurich in Switzerland, situated in the district of Affoltern in a predominantly rural and residential area.
-
D.
Eriswil
Eriswil is a rural Swiss village and municipality located in the hilly Emmental region of the canton of Bern.
-
E.
Hallbergmoos
Hallbergmoos is a municipality in Bavaria, Germany, known for hosting major aerospace and technology companies near Munich.
- 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: Ennetmoos Triple: [Stans, hasNeighboringMunicipality, Ennetmoos]
Generated description
Ennetmoos is a small Swiss municipality in the canton of Nidwalden, known for its rural character and scenic Alpine surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ennetmoos Target entity description: Ennetmoos is a small Swiss municipality in the canton of Nidwalden, known for its rural character and scenic Alpine surroundings.
-
A.
Ennetbürgen
Ennetbürgen is a Swiss lakeside municipality known for its scenic location on Lake Lucerne and proximity to Mount Bürgenstock in central Switzerland.
-
B.
Bürmoos
Bürmoos is a small Austrian municipality located in the state of Salzburg, known for its residential character and proximity to the city of Salzburg.
-
C.
Mettmenstetten
Mettmenstetten is a municipality in the canton of Zurich in Switzerland, situated in the district of Affoltern in a predominantly rural and residential area.
-
D.
Eriswil
Eriswil is a rural Swiss village and municipality located in the hilly Emmental region of the canton of Bern.
-
E.
Hallbergmoos
Hallbergmoos is a municipality in Bavaria, Germany, known for hosting major aerospace and technology companies near Munich.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196447a748190bd797ec9baa63fc3 |
completed | April 29, 2026, 5:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f7f06a08190a3ac574cdcd79e3d |
completed | May 19, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a0c4075bc508190ae0dc8b61c24faa0 |
completed | May 19, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c411702a48190ba2964ba221394d1 |
completed | May 19, 2026, 10:53 a.m. |
Created at: April 17, 2026, 4:58 p.m.