Triple
T16460250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wohlen bei Bern |
E399786
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Säriswil
Säriswil is a village in the canton of Bern, Switzerland, known as a rural locality within the municipality of Wohlen bei Bern.
|
E1214858
|
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: Säriswil | Statement: [Wohlen bei Bern, hasPart, Säriswil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Säriswil Context triple: [Wohlen bei Bern, hasPart, Säriswil]
-
A.
Ophasselt
Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
-
B.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
C.
Weilerswist
Weilerswist is a municipality in the Rhein-Erft district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the cities of Cologne and Bonn.
-
D.
Sulzemoos
Sulzemoos is a small municipality in Bavaria, Germany, located northwest of Munich in the district of Dachau.
-
E.
Wilderswil
Wilderswil is a picturesque Swiss village in the Bernese Oberland, known as a gateway to the Jungfrau region and a base for hiking and mountain excursions.
- 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: Säriswil Triple: [Wohlen bei Bern, hasPart, Säriswil]
Generated description
Säriswil is a village in the canton of Bern, Switzerland, known as a rural locality within the municipality of Wohlen bei Bern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Säriswil Target entity description: Säriswil is a village in the canton of Bern, Switzerland, known as a rural locality within the municipality of Wohlen bei Bern.
-
A.
Ophasselt
Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
-
B.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
-
C.
Weilerswist
Weilerswist is a municipality in the Rhein-Erft district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the cities of Cologne and Bonn.
-
D.
Sulzemoos
Sulzemoos is a small municipality in Bavaria, Germany, located northwest of Munich in the district of Dachau.
-
E.
Wilderswil
Wilderswil is a picturesque Swiss village in the Bernese Oberland, known as a gateway to the Jungfrau region and a base for hiking and mountain excursions.
- 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_6a004f53aff081909a75de6672f15f0e |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0050a0f5b081908417c6062b1f50cc |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00517b7b1c819098118fdbe03eb010 |
completed | May 10, 2026, 9:35 a.m. |
Created at: April 10, 2026, 5:10 a.m.