Triple

T21456502
Position Surface form Disambiguated ID Type / Status
Subject Volksmarine E529352 entity
Predicate navalBaseLocation P144414 FINISHED
Object Wolgast 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: Wolgast | Statement: [Volksmarine, navalBaseLocation, Wolgast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolgast
Context triple: [Volksmarine, navalBaseLocation, Wolgast]
  • A. Wolgast chosen
    Wolgast is a small town in northeastern Germany on the Baltic Sea coast, historically significant as a port and former naval base.
  • B. Borghorst
    Borghorst is a district of the German town Steinfurt in North Rhine-Westphalia, known historically for its textile industry and regional cultural heritage.
  • C. Knudshoved
    Knudshoved is a coastal area on the Danish island of Funen that serves as a key transport hub and former ferry terminal at the western end of the Great Belt crossing.
  • D. Soltau
    Soltau is a town in Lower Saxony, Germany, known for its location in the Lüneburg Heath and attractions such as the Heide Park amusement park.
  • E. Lauenburg
    Lauenburg is a historic town in northern Germany situated on the banks of the Elbe River.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d6da3c819082a495f5434c5554 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:08 p.m.