Triple

T10950505
Position Surface form Disambiguated ID Type / Status
Subject former Kaispeicher A warehouse E258712 entity
Predicate locatedInWaterfrontArea P89005 FINISHED
Object Hamburg port E50057 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: Hamburg port | Statement: [former Kaispeicher A warehouse, locatedInWaterfrontArea, Hamburg port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamburg port
Context triple: [former Kaispeicher A warehouse, locatedInWaterfrontArea, Hamburg port]
  • A. Port of Hamburg chosen
    The Port of Hamburg is Germany’s largest seaport and a major European logistics hub, known as the country’s “Gateway to the World.”
  • B. Port of Bremen
    The Port of Bremen is a major German river port complex on the Weser that serves as an important hub for maritime trade, logistics, and industry in northern Europe.
  • C. Port of Bremerhaven
    The Port of Bremerhaven is one of Europe’s major seaports and a key hub for container shipping and automobile exports on Germany’s North Sea coast.
  • D. Port of Wilhelmshaven
    The Port of Wilhelmshaven is Germany’s only deep-water container port and a major North Sea harbor handling crude oil, containers, and naval operations.
  • E. Port of Cuxhaven
    The Port of Cuxhaven is a German seaport on the North Sea known as an important hub for offshore wind energy, RoRo traffic, and maritime logistics.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ed2f1c819081ec58457f57889d completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e42d4f9518819091f7e02ad5f63ab3 completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:23 p.m.