Triple
T3707811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sils Maria |
E80934
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Lake Sils |
E382884
|
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: Lake Sils | Statement: [Sils Maria, hasAttraction, Lake Sils]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Sils Context triple: [Sils Maria, hasAttraction, Lake Sils]
-
A.
Lake Sils
chosen
Lake Sils is a scenic alpine lake in the Upper Engadine valley of the Swiss canton of Graubünden, renowned for its clear waters and surrounding mountain landscapes.
-
B.
Lake Jacomo
Lake Jacomo is a large recreational reservoir in Jackson County, Missouri, popular for boating, fishing, and outdoor activities within the Fleming Park area.
-
C.
Lake Sarnen
Lake Sarnen is a scenic alpine lake in the canton of Obwalden in central Switzerland, known for its clear waters and surrounding mountain landscapes.
-
D.
Lake Baldegg
Lake Baldegg is a small glacial lake in central Switzerland known for its scenic surroundings and role in regional recreation and nature conservation.
-
E.
Lake Thun
Lake Thun is a large alpine lake in the Bernese Oberland region of Switzerland, renowned for its scenic mountain backdrop, historic lakeside towns, and popular boating and water sports.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc580b08481908391283778d5ce14 |
completed | March 8, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db06e8e481908d1f026ce647a6a5 |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:33 p.m.