Triple

T20962673
Position Surface form Disambiguated ID Type / Status
Subject Kiel Hauptbahnhof E516286 entity
Predicate serves P98 FINISHED
Object Kiel port E205579 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: Kiel port | Statement: [Kiel Hauptbahnhof, serves, Kiel port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiel port
Context triple: [Kiel Hauptbahnhof, serves, Kiel port]
  • A. Kiel
    Kiel is a major port city in northern Germany on the Baltic Sea, known for its maritime industry and the annual Kiel Week sailing festival.
  • B. Kiel-Holtenau
    Kiel-Holtenau is a district of the German city of Kiel, known for its location at the Baltic Sea entrance of the Kiel Canal and its historic canal locks and lighthouse.
  • C. Port of Kiel chosen
    The Port of Kiel is a major Baltic Sea seaport and ferry hub known for passenger and cargo traffic, particularly on routes between Germany and Scandinavia and the Baltic states.
  • D. Mwanza Port
    Mwanza Port is a major Tanzanian inland port on Lake Victoria that serves as a key hub for regional transport and trade in the Mwanza area.
  • E. Kada Port
    Kada Port is a coastal harbor in Wakayama, Japan, serving as the main departure point for ferries to the nearby Tomogashima Islands.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb710d6c8190a2daacaad3b22683 completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fb160808190b5a0d73d06acdc9d completed May 17, 2026, 3:02 a.m.
Created at: April 16, 2026, 1:32 p.m.