Triple
T22778104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergedorf Castle |
E563758
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bergedorf |
—
|
NE NERFINISHED |
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: Bergedorf | Statement: [Bergedorf Castle, locatedIn, Bergedorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergedorf Context triple: [Bergedorf Castle, locatedIn, Bergedorf]
-
A.
Bergedorf
chosen
Bergedorf is a historic quarter and former independent town in the southeast of Hamburg, Germany, known for its medieval castle and role as a regional administrative and trading center.
-
B.
Sprockhövel
Sprockhövel is a small town in North Rhine-Westphalia, Germany, known for its historical coal mining heritage and location in the hilly Ruhr region.
-
C.
Wilhelmsdorf
Wilhelmsdorf is a village-level subdivision of the town of Usingen in the Hochtaunus district of Hesse, Germany.
-
D.
Steinhagen
Steinhagen is a municipality in North Rhine-Westphalia, Germany, known for its location near Bielefeld and its traditional grain distilleries.
-
E.
Hellersdorf
Hellersdorf is a locality in eastern Berlin, Germany, known for its large prefabricated housing estates built during the GDR era.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b631c6881908a6687920923dcf4 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.