Triple

T20788617
Position Surface form Disambiguated ID Type / Status
Subject Mukran Port E511707 entity
Predicate hasAlternativeName P39 FINISHED
Object Fährhafen Sassnitz NE NERFINISHED

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: Fährhafen Sassnitz | Statement: [Mukran Port, hasAlternativeName, Fährhafen Sassnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fährhafen Sassnitz
Context triple: [Mukran Port, hasAlternativeName, Fährhafen Sassnitz]
  • A. Port of Sassnitz chosen
    The Port of Sassnitz is a major German Baltic Sea harbor on the island of Rügen, serving as an important hub for ferry traffic, cargo handling, and maritime trade in northeastern Europe.
  • B. Port of Flensburg
    The Port of Flensburg is a small commercial and ferry harbor on the Flensburg Fjord near the German-Danish border, serving regional maritime trade and tourism.
  • C. Rostock city harbour
    Rostock city harbour is a historic Baltic Sea port in northern Germany that serves as a central hub for maritime events, tourism, and shipping.
  • D. Warnemünde
    Warnemünde is a seaside district and popular Baltic Sea resort of the German city of Rostock, known for its wide sandy beaches and maritime atmosphere.
  • E. Lübeck seaport
    Lübeck seaport is a major Baltic Sea harbor in northern Germany that serves as an important hub for maritime trade and ferry connections between Central Europe and Scandinavia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28dfb8c8190a10289c157a61c67 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.