Triple
T12317822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpstein region |
E293647
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Seealpsee |
E951278
|
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: Seealpsee | Statement: [Alpstein region, contains, Seealpsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seealpsee Context triple: [Alpstein region, contains, Seealpsee]
-
A.
Seealpsee
chosen
Seealpsee is a picturesque alpine lake in the Swiss canton of Appenzell, renowned for its scenic mountain setting and popular hiking opportunities.
-
B.
Alpnachersee
Alpnachersee is a small alpine lake in central Switzerland that forms a narrow southwestern arm of Lake Lucerne near the town of Alpnach.
-
C.
Ossiacher See
Ossiacher See is a picturesque alpine lake in the Austrian state of Carinthia, known for its scenic surroundings, water sports, and lakeside resorts.
-
D.
Totensee
Totensee is a small alpine lake in the Swiss Bernese Alps, situated at high elevation near the Grimsel Pass and known for its stark, scenic mountain surroundings.
-
E.
Alpsee
Alpsee is a picturesque alpine lake in Bavaria, Germany, renowned for its clear waters and scenic setting near the royal castles of Neuschwanstein and Hohenschwangau.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4ab1b88190979a8403a430a17c |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c62e40481908a688912055c697c |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 8, 2026, 9:53 p.m.