Triple

T10318377
Position Surface form Disambiguated ID Type / Status
Subject Channel Dash E242077 entity
Predicate location P40 FINISHED
Object German Bight E168488 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: German Bight | Statement: [Channel Dash, location, German Bight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: German Bight
Context triple: [Channel Dash, location, German Bight]
  • A. German Bight chosen
    The German Bight is a shallow southeastern corner of the North Sea off the coasts of Germany, Denmark, and the Netherlands, known for its tidal flats, shipping routes, and offshore wind farms.
  • B. Münsterländer Bucht
    The Münsterländer Bucht is a lowland region in northwestern Germany characterized by fertile plains, agriculture, and the city of Münster as its main urban center.
  • C. Eckernförde Bay
    Eckernförde Bay is a Baltic Sea inlet on the coast of Schleswig-Holstein in northern Germany, known for its beaches, maritime tourism, and the harbor town of Eckernförde.
  • D. Bay of Lübeck
    The Bay of Lübeck is a Baltic Sea inlet along the northern coast of Germany, known for its historic Hanseatic ports, sandy beaches, and popular seaside resorts.
  • E. Bavarian Sea
    The Bavarian Sea is a large lake in southeastern Germany, famed for its scenic Alpine setting and historic islands such as Herrenchiemsee.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d35e019081909cc296d73227a3ed completed April 7, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d8de9488190ae003231dccd0c8f completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:49 a.m.