Triple
T9495134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angeln |
E228984
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object | Angeln |
E228984
|
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: Angeln | Statement: [Angeln, hasGermanName, Angeln]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angeln Context triple: [Angeln, hasGermanName, Angeln]
-
A.
Angeln
chosen
Angeln is a historic peninsula in northern Germany, regarded as the ancestral homeland of the Angles, one of the main Germanic tribes that migrated to Britain.
-
B.
Dithmarschen
Dithmarschen is a rural district in the German state of Schleswig-Holstein, known for its North Sea coastline, marshland landscapes, and agricultural heritage.
-
C.
Halland
Halland is a historical province on Sweden’s southwest coast along the Kattegat, known for its strategic coastal location and fertile agricultural landscape.
-
D.
Nordfriesland
Nordfriesland is a coastal district in the German state of Schleswig-Holstein, known for its North Sea islands, Wadden Sea mudflats, and distinct Frisian culture and language.
-
E.
Ostholstein
Ostholstein is a rural district in the German state of Schleswig-Holstein, known for its Baltic Sea coastline, seaside resorts, and agricultural landscapes.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd95ea4a04819092c7842361c6296e |
completed | April 1, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a0331e08190b42df462c50e1f44 |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:56 p.m.