Triple
T18500924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmental |
E452062
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Schangnau
Schangnau is a rural Swiss village and municipality in the Emmental region of the canton of Bern, known for its pastoral landscapes and traditional alpine farming.
|
E1348265
|
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: Schangnau | Statement: [Emmental, containsSettlement, Schangnau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schangnau Context triple: [Emmental, containsSettlement, Schangnau]
-
A.
Zauggenried
Zauggenried was a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
-
B.
Bonstetten
Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Bollschweil
Bollschweil is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg im Breisgau in the scenic Breisgau area at the edge of the Black Forest.
-
D.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
E.
Niederbühl
Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern 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: Schangnau Triple: [Emmental, containsSettlement, Schangnau]
Generated description
Schangnau is a rural Swiss village and municipality in the Emmental region of the canton of Bern, known for its pastoral landscapes and traditional alpine farming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schangnau Target entity description: Schangnau is a rural Swiss village and municipality in the Emmental region of the canton of Bern, known for its pastoral landscapes and traditional alpine farming.
-
A.
Zauggenried
Zauggenried was a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
-
B.
Bonstetten
Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Bollschweil
Bollschweil is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg im Breisgau in the scenic Breisgau area at the edge of the Black Forest.
-
D.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
E.
Niederbühl
Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern 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_6a05829917e4819093dc8ae6ed4cdb6a |
completed | May 14, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a05885e976c81909ca84e84920dcc2d |
completed | May 14, 2026, 8:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0588d5399081908a959f47a7ea74d7 |
completed | May 14, 2026, 8:33 a.m. |
Created at: April 10, 2026, 11:36 a.m.