Triple
T14295410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Berlin |
E354425
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Weißensee |
E393549
|
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: Weißensee | Statement: [Northern Berlin, hasPart, Weißensee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weißensee Context triple: [Northern Berlin, hasPart, Weißensee]
-
A.
Weißensee
chosen
Weißensee is a locality in Berlin known for its historic lake, residential neighborhoods, and cultural institutions, situated within the borough of Pankow.
-
B.
Weissensee
Weissensee is a picturesque alpine lake and surrounding region in southern Austria, renowned for its clear waters, outdoor recreation, and unspoiled natural landscape.
-
C.
Ebensee
Ebensee is an Austrian town in the Salzkammergut region, known for its lakeside setting amid the Alps and its historical significance including a former World War II concentration camp site.
-
D.
Sämtisersee
Sämtisersee is a picturesque alpine lake in the Swiss Alpstein massif, known for its scenic hiking surroundings and traditional mountain pastures.
-
E.
Küssnachtersee
Küssnachtersee is a narrow northern arm of Lake Lucerne in central Switzerland, bordered by picturesque lakeside villages and surrounded by gentle pre-Alpine hills.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717b35ec81908968994e65737c66 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2281d481909714f8d8cfe71514 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:11 a.m.