Triple

T11688545
Position Surface form Disambiguated ID Type / Status
Subject Peenebrücke Wolgast E277806 entity
Predicate crosses P416 FINISHED
Object Peene E372875 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: Peene | Statement: [Peenebrücke Wolgast, crosses, Peene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peene
Context triple: [Peenebrücke Wolgast, crosses, Peene]
  • A. Peene River chosen
    The Peene River is a lowland river in northeastern Germany, often called the "Amazon of the North" for its largely untouched wetlands and rich biodiversity.
  • B. Örtze River
    The Örtze River is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
  • C. Zschopau River
    The Zschopau River is a tributary of the Freiberger Mulde in Saxony, Germany, flowing through the Ore Mountains and several towns before joining larger river systems.
  • D. Wakenitz
    Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
  • E. Rüdnitz
    Rüdnitz is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a478f4c481908b2ba7b70972590d completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f67c5c80cc819099b0ad7a2911781c completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:40 p.m.