Triple
T5050481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bern–Thun railway line |
E113771
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Uttigen
Uttigen is a small municipality in the canton of Bern, Switzerland, situated along the Aare River between Bern and Thun.
|
E491006
|
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: Uttigen | Statement: [Bern–Thun railway line, hasStation, Uttigen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uttigen Context triple: [Bern–Thun railway line, hasStation, Uttigen]
-
A.
Ulsta
Ulsta is a small settlement on the island of Yell in Shetland, Scotland, known primarily for its ferry terminal linking Yell to the Shetland mainland.
-
B.
Ittigen
Ittigen is a municipality in the canton of Bern in Switzerland that functions largely as a suburban community within the greater Bern urban region.
-
C.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
-
D.
Tungelsta
Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
-
E.
Tantolunden
Tantolunden is a large park and recreational area in Stockholm known for its allotment gardens, waterfront, and outdoor activities.
- 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: Uttigen Triple: [Bern–Thun railway line, hasStation, Uttigen]
Generated description
Uttigen is a small municipality in the canton of Bern, Switzerland, situated along the Aare River between Bern and Thun.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uttigen Target entity description: Uttigen is a small municipality in the canton of Bern, Switzerland, situated along the Aare River between Bern and Thun.
-
A.
Ulsta
Ulsta is a small settlement on the island of Yell in Shetland, Scotland, known primarily for its ferry terminal linking Yell to the Shetland mainland.
-
B.
Ittigen
Ittigen is a municipality in the canton of Bern in Switzerland that functions largely as a suburban community within the greater Bern urban region.
-
C.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
-
D.
Tungelsta
Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
-
E.
Tantolunden
Tantolunden is a large park and recreational area in Stockholm known for its allotment gardens, waterfront, and outdoor activities.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7425df74819091cfde348dd16a68 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea480fee88190a4302301259f29ba |
completed | March 21, 2026, 2 p.m. |
| NEDg | Description generation | batch_69bea5e902a88190a96a0dea88d3952e |
completed | March 21, 2026, 2:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea9961f8c8190b7ac93e199aa76d7 |
completed | March 21, 2026, 2:22 p.m. |
Created at: March 20, 2026, 1:37 p.m.