Triple
T9867239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bavarian Sea |
E239863
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Herrenchiemsee |
E211455
|
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: Herrenchiemsee | Statement: [Bavarian Sea, hasIsland, Herrenchiemsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herrenchiemsee Context triple: [Bavarian Sea, hasIsland, Herrenchiemsee]
-
A.
Herrenchiemsee Palace
chosen
Herrenchiemsee Palace is a lavish 19th-century royal residence built by King Ludwig II of Bavaria on an island in Chiemsee, modeled after France’s Palace of Versailles.
-
B.
Thumsee
Thumsee is a picturesque alpine lake in Bavaria, Germany, known for its clear waters, surrounding forested hills, and popularity as a local recreation and swimming spot.
-
C.
Amalienburg
Amalienburg is an ornate Rococo hunting lodge and pavilion located in the park of Nymphenburg Palace in Munich, Germany.
-
D.
Königsbrunn
Königsbrunn is a town in Bavaria, Germany, located just south of Augsburg and known as a residential and commercial suburb of the city.
-
E.
Forggensee
Forggensee is a large artificial lake in Bavaria, Germany, popular for boating and scenic views of the surrounding Alps and nearby castles.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d209ac8190b9bc9ff017a132da |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e45add0481909a0416035054a563 |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:36 p.m.