Triple
T3644084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weil der Stadt |
E77255
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Schafhausen
Schafhausen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
|
E443361
|
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: Schafhausen | Statement: [Weil der Stadt, hasSubdivision, Schafhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schafhausen Context triple: [Weil der Stadt, hasSubdivision, Schafhausen]
-
A.
Schaffhausen
Schaffhausen is a historic town and capital of the canton of the same name in northern Switzerland, known for its well-preserved medieval old town and proximity to the Rhine Falls.
-
B.
Grenchen
Grenchen is a Swiss town in the canton of Solothurn known for its watchmaking industry and location at the foot of the Jura Mountains.
-
C.
Solothurn
Solothurn is a canton in northwestern Switzerland known for its historic baroque town of the same name and its location along the Aare River.
-
D.
Adliswil
Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
-
E.
Rapperswil-Jona
Rapperswil-Jona is a Swiss town in the canton of St. Gallen known for its historic old town, lakeside location, and prominent medieval castle.
- 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: Schafhausen Triple: [Weil der Stadt, hasSubdivision, Schafhausen]
Generated description
Schafhausen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schafhausen Target entity description: Schafhausen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
A.
Schaffhausen
Schaffhausen is a historic town and capital of the canton of the same name in northern Switzerland, known for its well-preserved medieval old town and proximity to the Rhine Falls.
-
B.
Grenchen
Grenchen is a Swiss town in the canton of Solothurn known for its watchmaking industry and location at the foot of the Jura Mountains.
-
C.
Solothurn
Solothurn is a canton in northwestern Switzerland known for its historic baroque town of the same name and its location along the Aare River.
-
D.
Adliswil
Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
-
E.
Rapperswil-Jona
Rapperswil-Jona is a Swiss town in the canton of St. Gallen known for its historic old town, lakeside location, and prominent medieval castle.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35c28908190b253f4835918a2b4 |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b63702874881909610763d5a48b09d |
completed | March 15, 2026, 4:35 a.m. |
| NEDg | Description generation | batch_69b63823c30c8190af727acae00da9d3 |
completed | March 15, 2026, 4:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b638a398f88190bd0f041e9494aeba |
completed | March 15, 2026, 4:42 a.m. |
Created at: March 8, 2026, 3:24 p.m.