Triple
T1354597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neman River |
E28957
|
entity |
| Predicate | languageVariantName |
P20733
|
FINISHED |
| Object | Memel (German) |
E117663
|
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: Memel (German) | Statement: [Neman River, languageVariantName, Memel (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Memel (German) Context triple: [Neman River, languageVariantName, Memel (German)]
-
A.
Memel
chosen
Memel is the former German name for the Baltic port city now known as Klaipėda in Lithuania.
-
B.
Bittrich
Bittrich is a German surname most notably borne by Wilhelm Bittrich, a high-ranking Waffen-SS commander during World War II.
-
C.
Bad Godesberg
Bad Godesberg is a district in the city of Bonn, Germany, known for its affluent residential areas, former diplomatic missions, and scenic location along the Rhine River.
-
D.
Bremen-Verden
Bremen-Verden was a former duchy in northern Germany that emerged from the secularized prince-bishoprics of Bremen and Verden and was at times ruled in personal union by Sweden.
-
E.
Mohrungen
Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c28afc848190925d8b2f9aeac12d |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce6bf6188190a0e1c8acd16b8088 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:56 p.m.