Triple
T18501305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elfenau depot |
E452071
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Elfenau, Bern
Elfenau, Bern is a residential and parkland quarter of the Swiss city of Bern, known for its green spaces and historic villas along the Aare River.
|
E1327595
|
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: Elfenau, Bern | Statement: [Elfenau depot, locatedIn, Elfenau, Bern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elfenau, Bern Context triple: [Elfenau depot, locatedIn, Elfenau, Bern]
-
A.
Fehraltorf
Fehraltorf is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
-
B.
Bremgarten
Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
-
C.
Uttwil
Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
-
D.
Aiterhofen
Aiterhofen is a municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
E.
Regensdorf
Regensdorf is a municipality in the canton of Zürich in northern Switzerland, known as a suburban residential and industrial area near the city of Zürich.
- 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: Elfenau, Bern Triple: [Elfenau depot, locatedIn, Elfenau, Bern]
Generated description
Elfenau, Bern is a residential and parkland quarter of the Swiss city of Bern, known for its green spaces and historic villas along the Aare River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elfenau, Bern Target entity description: Elfenau, Bern is a residential and parkland quarter of the Swiss city of Bern, known for its green spaces and historic villas along the Aare River.
-
A.
Fehraltorf
Fehraltorf is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
-
B.
Bremgarten
Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
-
C.
Uttwil
Uttwil is a small Swiss municipality on the southern shore of Lake Constance in the canton of Thurgau.
-
D.
Aiterhofen
Aiterhofen is a municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
E.
Regensdorf
Regensdorf is a municipality in the canton of Zürich in northern Switzerland, known as a suburban residential and industrial area near the city of Zürich.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c43de48190b49b87c1bb591016 |
completed | April 19, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a047141e8208190b240a11ae3b02ec0 |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a04738415508190945eec50944d96e9 |
completed | May 13, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04746a380c819097df59bdbce0f6f6 |
completed | May 13, 2026, 12:54 p.m. |
Created at: April 10, 2026, 11:36 a.m.