Triple
T3089149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaud |
E64446
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Lake Neuchâtel |
E9289
|
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 Neuchâtel | Statement: [Vaud, hasLake, Lake Neuchâtel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Neuchâtel Context triple: [Vaud, hasLake, Lake Neuchâtel]
-
A.
Lake Neuchâtel
chosen
Lake Neuchâtel is the largest lake entirely within Switzerland, located in the French-speaking western part of the country and known for its scenic shores and surrounding vineyards.
-
B.
Lake of Biel
Lake of Biel is a scenic lake in western Switzerland’s Seeland region, known for its vineyards, islands, and role in the Jura water correction system.
-
C.
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.
-
D.
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.
-
E.
Lake Zurich
Lake Zurich is a picturesque glacial lake in Switzerland, bordered by the city of Zurich and known for its recreational activities, scenic promenades, and surrounding alpine landscapes.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20b99a4819090c3d3e08ed556ad |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432e95eb48190b51692cfbd7b22a6 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:03 p.m.