Triple
T1266057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unter den Linden |
E15602
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Lustgarten |
E106565
|
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: Lustgarten | Statement: [Unter den Linden, connectsTo, Lustgarten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lustgarten Context triple: [Unter den Linden, connectsTo, Lustgarten]
-
A.
Lustgarten
chosen
Lustgarten is a historic public park and square on Berlin’s Museum Island, long used as a parade ground and gathering place.
-
B.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
C.
Ostenfelde
Ostenfelde is a village in Germany best known as the birthplace of the influential 19th-century mathematician Karl Weierstrass.
-
D.
Neuer Garten
Neuer Garten is a historic landscaped park in Potsdam, Germany, known for its picturesque lakeside setting and palaces such as Cecilienhof and Marmorpalais.
-
E.
Berggarten
Berggarten is a historic botanical garden in Hanover, Germany, renowned for its diverse plant collections and greenhouses.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c036deb881909b234894347c75c6 |
completed | March 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb2fa8aec8190ad68b9dc87c85cfc |
completed | March 7, 2026, 11:21 p.m. |
Created at: March 1, 2026, 7:50 p.m.