Triple
T8555747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Münchenbuchsee |
E202558
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Schüpfen
Schüpfen is a municipality in the canton of Bern in Switzerland, located in the Seeland administrative district.
|
E742075
|
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: Schüpfen | Statement: [Münchenbuchsee, hasNeighboringMunicipality, Schüpfen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schüpfen Context triple: [Münchenbuchsee, hasNeighboringMunicipality, Schüpfen]
-
A.
Fischeln
Fischeln is a district of the German city of Krefeld in the state of North Rhine-Westphalia.
-
B.
Zesgehuchten
Zesgehuchten was a former village and municipality in the Dutch province of North Brabant, now part of the city of Geldrop-Mierlo.
-
C.
Flaemmchen
Flaemmchen is a young, ambitious stenographer and aspiring actress in Vicki Baum’s novel (and its film adaptation) "Grand Hotel," representing the struggles and dreams of working-class women in Weimar-era Berlin.
-
D.
De Kwakel
De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
-
E.
Schaal
Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
- 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: Schüpfen Triple: [Münchenbuchsee, hasNeighboringMunicipality, Schüpfen]
Generated description
Schüpfen is a municipality in the canton of Bern in Switzerland, located in the Seeland administrative district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schüpfen Target entity description: Schüpfen is a municipality in the canton of Bern in Switzerland, located in the Seeland administrative district.
-
A.
Fischeln
Fischeln is a district of the German city of Krefeld in the state of North Rhine-Westphalia.
-
B.
Zesgehuchten
Zesgehuchten was a former village and municipality in the Dutch province of North Brabant, now part of the city of Geldrop-Mierlo.
-
C.
Flaemmchen
Flaemmchen is a young, ambitious stenographer and aspiring actress in Vicki Baum’s novel (and its film adaptation) "Grand Hotel," representing the struggles and dreams of working-class women in Weimar-era Berlin.
-
D.
De Kwakel
De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
-
E.
Schaal
Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe88bcce081909e12e4037a0e6323 |
completed | March 31, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dd90fe88190aa27c46437581c14 |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce6ee1bae4819099ef302138599b34 |
completed | April 2, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fb93fd88190bc53a925473f9b71 |
completed | April 2, 2026, 1:31 p.m. |
Created at: March 30, 2026, 6:19 p.m.