Triple
T6173924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teufelsberg |
E137770
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Teufelssee |
E145508
|
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: Teufelssee | Statement: [Teufelsberg, near, Teufelssee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teufelssee Context triple: [Teufelsberg, near, Teufelssee]
-
A.
Teufelssee
chosen
Teufelssee is a small natural lake in Berlin known for its scenic setting, recreational swimming, and clothing-optional bathing area.
-
B.
Scharmützelsee
Scharmützelsee is a popular lake in eastern Germany known for its scenic surroundings, recreational activities, and spa resorts.
-
C.
Staffelsee
Staffelsee is a picturesque lake in southern Bavaria, Germany, known for its islands, warm bathing waters, and scenic Alpine surroundings.
-
D.
Stuttgart Feuersee
Stuttgart Feuersee is a commuter rail station in Stuttgart, Germany, served by the Stuttgart S-Bahn network.
-
E.
Würmsee
Würmsee is the historical name of the Bavarian lake now known as Starnberger See, one of Germany’s largest and most famous lakes near Munich.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d94c47481909745b2533926a1ca |
completed | March 22, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141b200788190bd8d968edba53e5f |
completed | March 23, 2026, 1:35 p.m. |
Created at: March 22, 2026, 4:18 p.m.