Triple
T20338422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedhof Gerzensee |
E495675
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Gerzensee |
—
|
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: Gerzensee | Statement: [Friedhof Gerzensee, locatedIn, Gerzensee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerzensee Context triple: [Friedhof Gerzensee, locatedIn, Gerzensee]
-
A.
Gerzensee
chosen
Gerzensee is a small municipality in the canton of Bern, Switzerland, known for its scenic lake and rural alpine surroundings.
-
B.
Walensee
Walensee is a picturesque alpine lake in eastern Switzerland, known for its steep surrounding mountains and clear turquoise waters.
-
C.
Hallwilersee
Hallwilersee is a scenic lake in the Swiss cantons of Aargau and Lucerne, popular for recreation, boating, and nature conservation.
-
D.
Reschensee
Reschensee is a man-made alpine lake in South Tyrol, Italy, famous for the submerged bell tower of a 14th-century church rising from its waters.
-
E.
Herzogenbuchsee
Herzogenbuchsee is a municipality in the canton of Bern in Switzerland, known as a regional center in the Oberaargau area.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678332bd08190a83880fb6aa32e08 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:23 a.m.