Triple

T3752325
Position Surface form Disambiguated ID Type / Status
Subject European seas E81359 entity
Predicate partOf P40 FINISHED
Object Wadden Sea E31238 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: Wadden Sea | Statement: [European seas, partOf, Wadden Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wadden Sea
Context triple: [European seas, partOf, Wadden Sea]
  • A. Wadden Sea chosen
    The Wadden Sea is a vast intertidal coastal wetland along the North Sea coasts of the Netherlands, Germany, and Denmark, renowned for its tidal flats, rich biodiversity, and status as a UNESCO World Heritage Site.
  • B. Veerse Meer
    Veerse Meer is a coastal lagoon and recreational lake in the Dutch province of Zeeland, popular for water sports and nature conservation.
  • C. Hollands Diep
    Hollands Diep is a broad estuarine river and former sea arm in the southwestern Netherlands that forms part of the Rhine–Meuse–Scheldt delta system.
  • 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. 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.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb92135c819093f6d616d3ad28ff completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db35fa5c81909b26b96cd70ebef8 completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:35 p.m.