Triple

T2484035
Position Surface form Disambiguated ID Type / Status
Subject German battleship Gneisenau E55883 entity
Predicate homePort P3150 FINISHED
Object Kiel E108871 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 | Statement: [German battleship Gneisenau, homePort, Kiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiel
Context triple: [German battleship Gneisenau, homePort, Kiel]
  • A. Kiel chosen
    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. Frombork
    Frombork is a historic town in northern Poland best known as the place where astronomer Nicolaus Copernicus lived, worked, and was buried, and for its prominent cathedral complex overlooking the Vistula Lagoon.
  • C. Gdańsk
    Gdańsk is a major Polish port city on the Baltic Sea, known for its rich Hanseatic history, shipyards, and role in the origins of the Solidarity movement.
  • D. Königsberg
    Königsberg was a historic Prussian city on the Baltic Sea, renowned as a major cultural and intellectual center of East Prussia and later known as Kaliningrad.
  • E. Biebrich
    Biebrich is a district of Wiesbaden in the German state of Hesse, historically known as an independent town on the Rhine and the site of the Baroque Biebrich Palace.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1644b5881908d2931a1dfbbd03b completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af654726988190a7166434ecf0582c completed March 10, 2026, 12:26 a.m.
Created at: March 6, 2026, 9:45 p.m.