Triple
T14577589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Baldegg |
E342095
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Baldegg |
E1114615
|
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: Baldegg | Statement: [Lake Baldegg, nearCity, Baldegg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baldegg Context triple: [Lake Baldegg, nearCity, Baldegg]
-
A.
Baldegg
chosen
Baldegg is a Swiss municipality known for its scenic setting by Lake Baldegg in the canton of Lucerne.
-
B.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
C.
Küsnacht
Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
-
D.
Bonstetten
Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
-
E.
Eggenwil
Eggenwil is a small municipality in the canton of Aargau in northern Switzerland, situated near the Reuss River and characterized by its rural, village-like 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f5ec448190b2ef887fdf7b633e |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24a2fc048190b68d3267fe17471b |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:24 a.m.