Triple
T17919369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neuenegg |
E448024
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Bösingen
Bösingen is a municipality in the canton of Fribourg in western Switzerland, known for its rural character and proximity to the city of Bern.
|
E1298492
|
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: Bösingen | Statement: [Neuenegg, hasNeighboringMunicipality, Bösingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bösingen Context triple: [Neuenegg, hasNeighboringMunicipality, Bösingen]
-
A.
Bötzingen
Bötzingen is a municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg in the Breisgau wine-growing area.
-
B.
Ödsbach
Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
-
C.
Emsbach
Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
-
D.
Bissingen
Bissingen is a suburb of the town of Herbrechtingen in the state of Baden-Württemberg, Germany.
-
E.
Bissingen
Bissingen is a municipality in the Donau-Ries district of Bavaria in southern Germany, known for its rural character and location near the Swabian Jura.
- 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: Bösingen Triple: [Neuenegg, hasNeighboringMunicipality, Bösingen]
Generated description
Bösingen is a municipality in the canton of Fribourg in western Switzerland, known for its rural character and proximity to the city of Bern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bösingen Target entity description: Bösingen is a municipality in the canton of Fribourg in western Switzerland, known for its rural character and proximity to the city of Bern.
-
A.
Bötzingen
Bötzingen is a municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg in the Breisgau wine-growing area.
-
B.
Ödsbach
Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
-
C.
Emsbach
Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
-
D.
Bissingen
Bissingen is a suburb of the town of Herbrechtingen in the state of Baden-Württemberg, Germany.
-
E.
Bissingen
Bissingen is a municipality in the Donau-Ries district of Bavaria in southern Germany, known for its rural character and location near the Swabian Jura.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30844548190b7a43c2f093f35d7 |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0330044a10819091c1328910d2bd58 |
completed | May 12, 2026, 1:49 p.m. |
| NEDg | Description generation | batch_6a0330e780fc8190a905a702c190f218 |
completed | May 12, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03317cff94819086a48b2aae95d2f0 |
completed | May 12, 2026, 1:56 p.m. |
Created at: April 10, 2026, 10:20 a.m.