Triple

T9025392
Position Surface form Disambiguated ID Type / Status
Subject South Beach (Südstrand) E216034 entity
Predicate partOf P40 FINISHED
Object Wilhelmshaven waterfront E41561 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: Wilhelmshaven waterfront | Statement: [South Beach (Südstrand), partOf, Wilhelmshaven waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelmshaven waterfront
Context triple: [South Beach (Südstrand), partOf, Wilhelmshaven waterfront]
  • A. Wilhelmshaven chosen
    Wilhelmshaven is a coastal city in northwestern Germany known for its major naval base and port on the North Sea.
  • B. Halifax Waterfront
    Halifax Waterfront is a popular harbourside boardwalk district in downtown Halifax, Nova Scotia, known for its scenic views, historic sites, shops, restaurants, and cultural events along the harbour.
  • C. Dover Harbour
    Dover Harbour is a major port on England’s southeast coast, serving as a key gateway for cross-Channel ferry traffic and maritime trade between the UK and continental Europe.
  • D. Westhafen
    Westhafen is a major inland port and freight hub in Berlin, serving as one of the city’s key logistics and transportation centers.
  • E. Barrow docks
    Barrow docks is a historic port complex in Barrow-in-Furness, England, that developed into a major industrial and shipbuilding hub during the 19th and 20th centuries.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a7ce71c81908041814dc9ec1713 completed April 1, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047665204819090fe9c74fd64659e completed April 3, 2026, 11:04 p.m.
Created at: March 30, 2026, 7:07 p.m.