Triple
T9091442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Maurice, Prince of Nassau-Siegen |
E217893
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Bergedorf |
E133365
|
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: Bergedorf | Statement: [John Maurice, Prince of Nassau-Siegen, deathPlace, Bergedorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergedorf Context triple: [John Maurice, Prince of Nassau-Siegen, deathPlace, 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.
Biesdorf
Biesdorf is a residential district in eastern Berlin, Germany, known for its mix of post-war housing estates, green spaces, and historic village core.
-
E.
Friedrichsdorf
Friedrichsdorf is a town in the German state of Hesse, located north of Frankfurt and known historically for its Huguenot heritage and proximity to the Taunus mountains.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc965b73848190af309cd7d2f14066 |
completed | April 1, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3017a7c8190a7182acc7831d09b |
completed | April 4, 2026, 10:08 a.m. |
Created at: March 30, 2026, 7:14 p.m.