Triple
T7290594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bomann Museum |
E164381
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | City of Celle |
E540682
|
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: City of Celle | Statement: [Bomann Museum, operatedBy, City of Celle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Celle Context triple: [Bomann Museum, operatedBy, City of Celle]
-
A.
city of Celle
chosen
The city of Celle is a historic town in Lower Saxony, Germany, known for its well-preserved medieval old town and numerous timber-framed houses.
-
B.
Calenberg
Calenberg was a historic principality in what is now Lower Saxony, Germany, that formed a core territory of the Duchy of Brunswick-Lüneburg and later the Electorate and Kingdom of Hanover.
-
C.
Seligenstadt
Seligenstadt is a historic town in Hesse, Germany, known for its well-preserved medieval center and its association with the Carolingian scholar Einhard.
-
D.
Calenberger Neustadt
Calenberger Neustadt is a historic inner-city district of Hanover, Germany, known for its mix of residential areas, cultural sites, and proximity to the city center.
-
E.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb6d4e308190af6b8c237988d7d8 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db4a31608190ba465e22e7a81782 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 3 p.m.