Triple
T13230688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murten |
E315007
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Lurtigen
Lurtigen is a small former municipality in the canton of Fribourg in western Switzerland.
|
E1028986
|
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: Lurtigen | Statement: [Murten, hasNeighboringMunicipality, Lurtigen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lurtigen Context triple: [Murten, hasNeighboringMunicipality, Lurtigen]
-
A.
Wildenberg
Wildenberg is a small municipality in the Kelheim district of Lower Bavaria, Germany, known for its rural character and agricultural surroundings.
-
B.
Lunzenau
Lunzenau is a small town in the German state of Saxony, known for its location along the Zwickauer Mulde river and its historic architecture.
-
C.
Lauterbourg
Lauterbourg is a small French town in the Alsace region near the German border, known for its cross-border role within the Upper Rhine area and its historic Rhine river setting.
-
D.
Lahrheim
Lahrheim is a surname most notably associated with individuals such as Irving Lahrheim.
-
E.
Lutterberg
Lutterberg is a village in Lower Saxony, Germany, historically notable as the site of the 1758 Battle of Lutterberg during the Seven Years' War.
- 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: Lurtigen Triple: [Murten, hasNeighboringMunicipality, Lurtigen]
Generated description
Lurtigen 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: Lurtigen Target entity description: Lurtigen is a small former municipality in the canton of Fribourg in western Switzerland.
-
A.
Wildenberg
Wildenberg is a small municipality in the Kelheim district of Lower Bavaria, Germany, known for its rural character and agricultural surroundings.
-
B.
Lunzenau
Lunzenau is a small town in the German state of Saxony, known for its location along the Zwickauer Mulde river and its historic architecture.
-
C.
Lauterbourg
Lauterbourg is a small French town in the Alsace region near the German border, known for its cross-border role within the Upper Rhine area and its historic Rhine river setting.
-
D.
Lahrheim
Lahrheim is a surname most notably associated with individuals such as Irving Lahrheim.
-
E.
Lutterberg
Lutterberg is a village in Lower Saxony, Germany, historically notable as the site of the 1758 Battle of Lutterberg during the Seven Years' War.
- 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_69f6ff2c07488190ad07c544cca63a7d |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f70408b2088190989c3b38a5d66495 |
completed | May 3, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70518acc0819089a987abfd42f928 |
completed | May 3, 2026, 8:19 a.m. |
Created at: April 9, 2026, 9:21 p.m.