Triple
T19009479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberaargau administrative district |
E465180
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Seeberg |
—
|
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: Seeberg | Statement: [Oberaargau administrative district, containsSettlement, Seeberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seeberg Context triple: [Oberaargau administrative district, containsSettlement, Seeberg]
-
A.
Seeberg
chosen
Seeberg is a small Swiss municipality located in the Emmental region of the canton of Bern.
-
B.
Sundsberg
Sundsberg is a residential village and district in the municipality of Kirkkonummi in southern Finland, known for its modern housing and proximity to the Helsinki metropolitan area.
-
C.
Moberg
Moberg is a Swedish surname most famously associated with Vilhelm Moberg, the renowned author of the "The Emigrants" series about Swedish migration to America.
-
D.
Solberga
Solberga is a residential district in southern Stockholm, Sweden, known for its mid-20th-century housing and green areas.
-
E.
Spydeberg
Spydeberg is a small Norwegian village and former municipality in the traditional region of Østfold, known for its rural character and historic church.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a72aa88190a04f13cd14ee77d4 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:02 p.m.