Triple
T7851389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olten |
E182060
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Starrkirch-Wil
Starrkirch-Wil is a small Swiss municipality in the canton of Solothurn, situated in the Olten region.
|
E700026
|
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: Starrkirch-Wil | Statement: [Olten, hasNeighboringMunicipality, Starrkirch-Wil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starrkirch-Wil Context triple: [Olten, hasNeighboringMunicipality, Starrkirch-Wil]
-
A.
Lorenzkirch
Lorenzkirch is a small village in Saxony, Germany, known historically as the birthplace of Nobel Prize–winning physicist Wolfgang Paul.
-
B.
Oberkirch
Oberkirch is a town in the Ortenau district of Baden-Württemberg in southwestern Germany, known for its wine production and picturesque location at the edge of the Black Forest.
-
C.
Taufkirchen
Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
-
D.
Rixdorf
Rixdorf is a historic district in Berlin, Germany, known for its 18th-century Bohemian settlement and well-preserved village character within the modern city.
-
E.
Willstätt
Willstätt is a municipality in southwestern Germany’s Baden-Württemberg region, situated near the Rhine and the French border.
- 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: Starrkirch-Wil Triple: [Olten, hasNeighboringMunicipality, Starrkirch-Wil]
Generated description
Starrkirch-Wil is a small Swiss municipality in the canton of Solothurn, situated in the Olten region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Starrkirch-Wil Target entity description: Starrkirch-Wil is a small Swiss municipality in the canton of Solothurn, situated in the Olten region.
-
A.
Lorenzkirch
Lorenzkirch is a small village in Saxony, Germany, known historically as the birthplace of Nobel Prize–winning physicist Wolfgang Paul.
-
B.
Oberkirch
Oberkirch is a town in the Ortenau district of Baden-Württemberg in southwestern Germany, known for its wine production and picturesque location at the edge of the Black Forest.
-
C.
Taufkirchen
Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
-
D.
Rixdorf
Rixdorf is a historic district in Berlin, Germany, known for its 18th-century Bohemian settlement and well-preserved village character within the modern city.
-
E.
Willstätt
Willstätt is a municipality in southwestern Germany’s Baden-Württemberg region, situated near the Rhine and the French border.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18eaac508190bf373b1d50b52e1e |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b0d95748190a202258214dda2ae |
completed | March 31, 2026, 5:26 a.m. |
| NEDg | Description generation | batch_69cb762eab0881909c5035b3086dfdd9 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb801cc0c8190864d28e199eb5e67 |
completed | March 31, 2026, 12:03 p.m. |
Created at: March 30, 2026, 4:51 p.m.