Triple
T3652637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samtgemeinde Artland |
E77455
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Badbergen |
E374938
|
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: Badbergen | Statement: [Samtgemeinde Artland, hasMember, Badbergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badbergen Context triple: [Samtgemeinde Artland, hasMember, Badbergen]
-
A.
Badbergen
chosen
Badbergen is a municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück district.
-
B.
Beinsdorp
Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
-
C.
Rijsbergen
Rijsbergen is a village in the Dutch province of North Brabant, located near the Belgian border and known for its rural character.
-
D.
Boskoop
Boskoop is a Dutch town historically renowned as a major center of tree and nursery cultivation.
-
E.
Haaksbergen
Haaksbergen is a town in the eastern Netherlands, near the German border, known for its rural surroundings and cross-border ties with neighboring German communities.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b805a48190a7bc230a382365d6 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488394aa48190b91985aa912cf733 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:24 p.m.