Triple
T13230687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murten |
E315007
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Büchslen
Büchslen is a small former municipality in the canton of Fribourg in western Switzerland.
|
E1035369
|
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: Büchslen | Statement: [Murten, hasNeighboringMunicipality, Büchslen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Büchslen Context triple: [Murten, hasNeighboringMunicipality, Büchslen]
-
A.
Niederbühl
Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
-
B.
Kesswil
Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
-
C.
Lüsslingen
Lüsslingen is a village and former municipality in the canton of Solothurn in Switzerland.
-
D.
Bonstetten
Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
-
E.
Göschenen
Göschenen is a Swiss mountain village and railway junction in the canton of Uri, known as a gateway to the Gotthard region.
- 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: Büchslen Triple: [Murten, hasNeighboringMunicipality, Büchslen]
Generated description
Büchslen is a small former municipality in the canton of Fribourg in western Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Büchslen Target entity description: Büchslen is a small former municipality in the canton of Fribourg in western Switzerland.
-
A.
Niederbühl
Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
-
B.
Kesswil
Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
-
C.
Lüsslingen
Lüsslingen is a village and former municipality in the canton of Solothurn in Switzerland.
-
D.
Bonstetten
Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
-
E.
Göschenen
Göschenen is a Swiss mountain village and railway junction in the canton of Uri, known as a gateway to the Gotthard region.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d336ae08190bfc118cfbefddf84 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f17ba9081909929201be937c2cf |
completed | May 3, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69f7204ac36c8190a04e921442489e9c |
completed | May 3, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7221887208190ac98945a023bc496 |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 9, 2026, 9:21 p.m.