Triple
T10349010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Außenalster |
E243829
|
entity |
| Predicate | separatedFrom |
P243
|
FINISHED |
| Object | Binnenalster |
E241355
|
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: Binnenalster | Statement: [Außenalster, separatedFrom, Binnenalster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Binnenalster Context triple: [Außenalster, separatedFrom, Binnenalster]
-
A.
Binnenalster
chosen
Binnenalster is the smaller, inner section of Hamburg’s Alster lake, bordered by the city center and known for its scenic promenades and iconic fountain.
-
B.
Schlachtensee
Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
-
C.
Außenalster
Außenalster is the larger, outer section of Hamburg’s Alster lake, known for sailing, rowing, and scenic waterfront paths near the city center.
-
D.
Müggelsee
Müggelsee is the largest lake in Berlin, Germany, known for its popular recreational areas and natural surroundings.
-
E.
Schweriner See
Schweriner See is a large lake in northern Germany that surrounds and characterizes the city of Schwerin, known for its scenic shores and historic lakeside castle.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e946cbb881909b88536d0107995d |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7951e65948190a25e559ba94be3c7 |
completed | April 9, 2026, 12:01 p.m. |
Created at: April 6, 2026, 11:57 a.m.