Triple
T16460388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyss |
E399789
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Grossaffoltern
Grossaffoltern is a rural municipality in the canton of Bern, Switzerland, known for its agricultural landscape and small village character.
|
E1228450
|
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: Grossaffoltern | Statement: [Lyss, hasNeighboringMunicipality, Grossaffoltern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grossaffoltern Context triple: [Lyss, hasNeighboringMunicipality, Grossaffoltern]
-
A.
Affoltern
Affoltern is a district of Zurich, Switzerland, known as a largely residential area on the western side of the city.
-
B.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
-
C.
Ramiswil
Ramiswil is a small rural municipality in the canton of Solothurn in northwestern Switzerland, known for its scenic Jura landscape and agricultural character.
-
D.
Romanshorn
Romanshorn is a Swiss town on the southern shore of Lake Constance, known as an important regional transport hub and ferry port.
-
E.
Gümligen
Gümligen is a village and suburb in the municipality of Muri bei Bern in the canton of Bern, Switzerland.
- 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: Grossaffoltern Triple: [Lyss, hasNeighboringMunicipality, Grossaffoltern]
Generated description
Grossaffoltern is a rural municipality in the canton of Bern, Switzerland, known for its agricultural landscape and small village character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grossaffoltern Target entity description: Grossaffoltern is a rural municipality in the canton of Bern, Switzerland, known for its agricultural landscape and small village character.
-
A.
Affoltern
Affoltern is a district of Zurich, Switzerland, known as a largely residential area on the western side of the city.
-
B.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
-
C.
Ramiswil
Ramiswil is a small rural municipality in the canton of Solothurn in northwestern Switzerland, known for its scenic Jura landscape and agricultural character.
-
D.
Romanshorn
Romanshorn is a Swiss town on the southern shore of Lake Constance, known as an important regional transport hub and ferry port.
-
E.
Gümligen
Gümligen is a village and suburb in the municipality of Muri bei Bern in the canton of Bern, Switzerland.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d80e66c8190b2b3199efe9cfaa1 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a2363208190beb218e633d0627e |
completed | May 10, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a008c8adc188190adc6e85cc4c9f93a |
completed | May 10, 2026, 1:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008ce668f88190b80dc541262ae0f5 |
completed | May 10, 2026, 1:49 p.m. |
Created at: April 10, 2026, 5:10 a.m.