Triple
T18500922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmental |
E452062
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Lauperswil
Lauperswil is a rural municipality in the Emmental region of the canton of Bern in Switzerland, known for its agricultural landscape and traditional Swiss countryside character.
|
E1345033
|
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: Lauperswil | Statement: [Emmental, containsSettlement, Lauperswil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauperswil Context triple: [Emmental, containsSettlement, Lauperswil]
-
A.
Attiswil
Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
-
B.
Sigriswil
Sigriswil is a municipality in the canton of Bern, Switzerland, known for its scenic location above Lake Thun and views of the surrounding Alps.
-
C.
Hundwil
Hundwil is a small Swiss municipality known for its rural character and traditional Appenzell culture in northeastern Switzerland.
-
D.
Uttwil
Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
-
E.
Neuhausen
Neuhausen is a locality that forms one of the subdivisions of the Bavarian municipality of Metten in Germany.
- 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: Lauperswil Triple: [Emmental, containsSettlement, Lauperswil]
Generated description
Lauperswil is a rural municipality in the Emmental region of the canton of Bern in Switzerland, known for its agricultural landscape and traditional Swiss countryside character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauperswil Target entity description: Lauperswil is a rural municipality in the Emmental region of the canton of Bern in Switzerland, known for its agricultural landscape and traditional Swiss countryside character.
-
A.
Attiswil
Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
-
B.
Sigriswil
Sigriswil is a municipality in the canton of Bern, Switzerland, known for its scenic location above Lake Thun and views of the surrounding Alps.
-
C.
Hundwil
Hundwil is a small Swiss municipality known for its rural character and traditional Appenzell culture in northeastern Switzerland.
-
D.
Uttwil
Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
-
E.
Neuhausen
Neuhausen is a locality that forms one of the subdivisions of the Bavarian municipality of Metten in Germany.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c43de48190b49b87c1bb591016 |
completed | April 19, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0567524c208190b59e3c3b4df57a29 |
completed | May 14, 2026, 6:10 a.m. |
| NEDg | Description generation | batch_6a0567d37444819080c19a1363eedc3b |
completed | May 14, 2026, 6:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a056838b2488190a7d23b7cdde05fac |
completed | May 14, 2026, 6:14 a.m. |
Created at: April 10, 2026, 11:36 a.m.