Triple
T16808310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A3 (Swiss motorway) |
E408534
|
entity |
| Predicate | followsShoreOf |
P18703
|
FINISHED |
| Object | Walensee |
E982690
|
NE FINISHED |
How this triple was built (2 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: Walensee | Statement: [A3 (Swiss motorway), followsShoreOf, Walensee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walensee Context triple: [A3 (Swiss motorway), followsShoreOf, Walensee]
-
A.
Walensee
chosen
Walensee is a picturesque alpine lake in eastern Switzerland, known for its steep surrounding mountains and clear turquoise waters.
-
B.
Vierwaldstättersee
Vierwaldstättersee is a picturesque lake in central Switzerland, surrounded by mountains and historic towns, and is a major natural and tourist landmark of the region.
-
C.
Walchensee
Walchensee is a large alpine lake in Bavaria, Germany, renowned for its clear turquoise waters, scenic mountain surroundings, and use in hydroelectric power generation.
-
D.
Alpnachersee
Alpnachersee is a small alpine lake in central Switzerland that forms a narrow southwestern arm of Lake Lucerne near the town of Alpnach.
-
E.
Gerzensee
Gerzensee is a small municipality in the canton of Bern, Switzerland, known for its scenic lake and rural alpine surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cde590819080dc474292b023ee |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139e5f5988190a87b62d32bfb32fa |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:22 a.m.