Triple

T2876259
Position Surface form Disambiguated ID Type / Status
Subject Kiel Bay E56885 entity
Predicate connectsTo P845 FINISHED
Object Mecklenburg Bay E142936 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: Mecklenburg Bay | Statement: [Kiel Bay, connectsTo, Mecklenburg Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mecklenburg Bay
Context triple: [Kiel Bay, connectsTo, Mecklenburg Bay]
  • A. 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.
  • B. Bay of Pomerania chosen
    The Bay of Pomerania is a southern Baltic Sea bay along the coasts of modern Poland and Germany, known for its sandy beaches, coastal resorts, and maritime trade.
  • C. Lake Müritz
    Lake Müritz is Germany’s second-largest lake and a central feature of the Mecklenburg Lake District, known for its extensive wetlands, rich birdlife, and surrounding protected landscapes.
  • D. German Bight
    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.
  • E. Rummelsburg Bay
    Rummelsburg Bay is a waterside area and inlet of the River Spree in Berlin, known for its mix of residential developments, recreational spaces, and former industrial sites.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0061d048190bb1e5a01e7ceb0e2 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01dbb28588190ba2daae192744908 completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:03 p.m.