Triple
T17515459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorze |
E426555
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Muri, Aargau
Muri, Aargau is a municipality in the Swiss canton of Aargau known for its historic Benedictine monastery and picturesque setting in the Reuss valley.
|
E1273728
|
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: Muri, Aargau | Statement: [Lorze, passesNear, Muri, Aargau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muri, Aargau Context triple: [Lorze, passesNear, Muri, Aargau]
-
A.
Muri bei Bern
Muri bei Bern is a suburban municipality in the canton of Bern, Switzerland, known for its residential character and proximity to the city of Bern.
-
B.
Moutier, Switzerland
Moutier, Switzerland is a small town in the canton of Bern known for its industrial heritage and as a former base for international sports administration.
-
C.
Uitikon
Uitikon is a small municipality in the canton of Zurich, Switzerland, located on the western outskirts of the city of Zurich.
-
D.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
-
E.
Zollikon
Zollikon is an affluent suburban municipality on the shores of Lake Zurich, known for its residential character and proximity to the city of Zurich in Switzerland.
- 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: Muri, Aargau Triple: [Lorze, passesNear, Muri, Aargau]
Generated description
Muri, Aargau is a municipality in the Swiss canton of Aargau known for its historic Benedictine monastery and picturesque setting in the Reuss valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Muri, Aargau Target entity description: Muri, Aargau is a municipality in the Swiss canton of Aargau known for its historic Benedictine monastery and picturesque setting in the Reuss valley.
-
A.
Muri bei Bern
Muri bei Bern is a suburban municipality in the canton of Bern, Switzerland, known for its residential character and proximity to the city of Bern.
-
B.
Moutier, Switzerland
Moutier, Switzerland is a small town in the canton of Bern known for its industrial heritage and as a former base for international sports administration.
-
C.
Uitikon
Uitikon is a small municipality in the canton of Zurich, Switzerland, located on the western outskirts of the city of Zurich.
-
D.
Hergiswil
Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
-
E.
Zollikon
Zollikon is an affluent suburban municipality on the shores of Lake Zurich, known for its residential character and proximity to the city of Zurich in Switzerland.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525fa0c48190b42b36c40db7ed7f |
completed | April 19, 2026, 3:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c93ede288190af2fd8ae8826a855 |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01ca84f3388190aa2eda694f91a17b |
completed | May 11, 2026, 12:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01cb0b3cec8190afc6cf6dd1e4d896 |
completed | May 11, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:49 a.m.