Triple

T14266181
Position Surface form Disambiguated ID Type / Status
Subject U9 E353649 entity
Predicate hasStation P35 FINISHED
Object Westhafen E610258 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: Westhafen | Statement: [U9, hasStation, Westhafen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westhafen
Context triple: [U9, hasStation, Westhafen]
  • A. Westhafen chosen
    Westhafen is a major inland port and freight hub in Berlin, serving as one of the city’s key logistics and transportation centers.
  • B. Gstadt harbor
    Gstadt harbor is a lakeside port and departure point on the shores of Lake Chiemsee in Bavaria, Germany, serving as a gateway to the lake’s islands and surrounding attractions.
  • C. Ostuferhafen
    Ostuferhafen is a major ferry and cargo terminal in Kiel, Germany, serving Baltic Sea routes and handling both passenger and freight traffic.
  • D. Heiligenhafen
    Heiligenhafen is a coastal town in northern Germany on the Baltic Sea, known for its fishing harbor, beaches, and tourism.
  • E. Emder Hafen
    Emder Hafen is the historic seaport of the city of Emden in northwestern Germany, serving as an important maritime and commercial hub on the North Sea coast.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6358c2288190ac1fd26e688a605d completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326551b08190ae8fe220a6422339 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.