Triple
T19357536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reinbek |
E484188
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Stormarn |
—
|
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: Stormarn | Statement: [Reinbek, district, Stormarn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stormarn Context triple: [Reinbek, district, Stormarn]
-
A.
Stormarn district
chosen
Stormarn district is an administrative district in the state of Schleswig-Holstein in northern Germany, located between Hamburg and Lübeck.
-
B.
Hvalsey
Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
-
C.
Falster
Falster is a Danish Baltic Sea island known for its rural landscapes, coastal tourism, and position as a transit route between Zealand and Germany.
-
D.
Suðurland
Suðurland is a region in southern Iceland known for its dramatic landscapes, including waterfalls, glaciers, black sand beaches, and active volcanoes.
-
E.
Eiderstedt
Eiderstedt is a low-lying peninsula on Germany’s North Sea coast known for its dike-protected marshlands, agriculture, and coastal tourism.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619096c1081909ce2cbf7ae804e73 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.