Triple
T23107108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Einsiedeln |
E576200
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sihlsee |
—
|
NE NERFINISHED |
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: Sihlsee | Statement: [Einsiedeln, locatedNear, Sihlsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sihlsee Context triple: [Einsiedeln, locatedNear, Sihlsee]
-
A.
Sihlsee
chosen
Sihlsee is an artificial lake in the Swiss canton of Schwyz, created by damming the Sihl River and used primarily for hydroelectric power generation and recreation.
-
B.
Sihlsee dam
The Sihlsee dam is a Swiss hydroelectric dam that creates Lake Sihl, a reservoir used for power generation and flood control near Zurich.
-
C.
Stutensee
Stutensee is a town in the district of Karlsruhe in the state of Baden-Württemberg in southwestern Germany.
-
D.
Pilsensee
Pilsensee is a small scenic lake in Bavaria, Germany, known for its clear waters, recreational opportunities, and location within the popular Five Lakes Region near Munich.
-
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 (2 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e0bb27c8190a17942d9b88bb158 |
completed | April 29, 2026, 4:50 a.m. |
Created at: April 17, 2026, 3:58 p.m.