Triple
T20183962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schnebelhorn |
E492804
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Gibswil
Gibswil is a small village in the canton of Zurich, Switzerland, known as a gateway to the nearby Schnebelhorn mountain and its hiking and outdoor recreation areas.
|
E1419684
|
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: Gibswil | Statement: [Schnebelhorn, locatedNear, Gibswil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gibswil Context triple: [Schnebelhorn, locatedNear, Gibswil]
-
A.
Leutwil
Leutwil is a small municipality in the canton of Aargau in northern Switzerland, known for its rural character and scenic surroundings.
-
B.
Kesswil
Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
-
C.
Eggenwil
Eggenwil is a small municipality in the canton of Aargau in northern Switzerland, situated near the Reuss River and characterized by its rural, village-like setting.
-
D.
Attiswil
Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
-
E.
Retschwil
Retschwil is a small Swiss lakeside locality in the canton of Lucerne, known for its rural setting and proximity to Lake Baldegg.
- 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: Gibswil Triple: [Schnebelhorn, locatedNear, Gibswil]
Generated description
Gibswil is a small village in the canton of Zurich, Switzerland, known as a gateway to the nearby Schnebelhorn mountain and its hiking and outdoor recreation areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gibswil Target entity description: Gibswil is a small village in the canton of Zurich, Switzerland, known as a gateway to the nearby Schnebelhorn mountain and its hiking and outdoor recreation areas.
-
A.
Leutwil
Leutwil is a small municipality in the canton of Aargau in northern Switzerland, known for its rural character and scenic surroundings.
-
B.
Kesswil
Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
-
C.
Eggenwil
Eggenwil is a small municipality in the canton of Aargau in northern Switzerland, situated near the Reuss River and characterized by its rural, village-like setting.
-
D.
Attiswil
Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
-
E.
Retschwil
Retschwil is a small Swiss lakeside locality in the canton of Lucerne, known for its rural setting and proximity to Lake Baldegg.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f199688190a42094cce220f6f2 |
completed | April 20, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b7c52c88190bd601c103ebda0a0 |
completed | May 16, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_6a084cc9e31081908d81dd84a13affd7 |
completed | May 16, 2026, 10:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084d2dd69c81909229f0da11557e26 |
completed | May 16, 2026, 10:55 a.m. |
Created at: April 11, 2026, 11:36 p.m.