Triple
T15815445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sihlsee |
E383463
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Sihlsee dam |
E381044
|
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: Sihlsee dam | Statement: [Sihlsee, createdBy, Sihlsee dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sihlsee dam Context triple: [Sihlsee, createdBy, Sihlsee dam]
-
A.
Sihlsee dam
chosen
The Sihlsee dam is a Swiss hydroelectric dam that creates Lake Sihl, a reservoir used for power generation and flood control near Zurich.
-
B.
Sihlsee
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.
-
C.
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.
-
D.
Lake Sihl
Lake Sihl is a large reservoir in the Swiss canton of Schwyz, primarily used for hydroelectric power generation and flood protection for the city of Zurich.
-
E.
Schlosssee
Schlosssee is a scenic lake in the spa town of Bad Waldsee in southern Germany, known for recreation and its picturesque natural setting.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a219508190b8588120ec415ac7 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5997a988190b7965e42d283459a |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:49 a.m.