Triple
T7295867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heidekreis |
E164519
|
entity |
| Predicate | formerCapital |
P3417
|
FINISHED |
| Object | Fallingbostel |
E430089
|
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: Fallingbostel | Statement: [Heidekreis, formerCapital, Fallingbostel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fallingbostel Context triple: [Heidekreis, formerCapital, Fallingbostel]
-
A.
Fallingbostel
chosen
Fallingbostel is a town in Lower Saxony, Germany, historically known for its military installations and role as a British Army garrison location after World War II.
-
B.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
C.
Fallersleben
Fallersleben is a district of Wolfsburg in Lower Saxony, Germany, historically known as the birthplace of poet August Heinrich Hoffmann von Fallersleben.
-
D.
Bergheim
Bergheim is a municipality in the Austrian state of Salzburg, located just north of the city of Salzburg and known for its suburban character and proximity to the regional capital.
-
E.
Saalhof
Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
- 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_69c6eb8d0c6c8190b32cd08b9a5d96cc |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e547c7b88190b792495efb3a215c |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3 p.m.