Triple

T9171256
Position Surface form Disambiguated ID Type / Status
Subject Hanover–Brunswick–Göttingen–Wolfsburg Metropolitan Region E220084 entity
Predicate containsCity P294 FINISHED
Object Peine E345903 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: Peine | Statement: [Hanover–Brunswick–Göttingen–Wolfsburg Metropolitan Region, containsCity, Peine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peine
Context triple: [Hanover–Brunswick–Göttingen–Wolfsburg Metropolitan Region, containsCity, Peine]
  • A. Peine chosen
    Peine is a town in Lower Saxony, Germany, known for its industrial history and location between Hanover and Brunswick.
  • B. Inn River
    The Inn River is a major Alpine river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
  • C. Werre
    The Werre is a river in North Rhine-Westphalia, Germany, that flows through towns such as Detmold and Herford before joining the Weser.
  • D. Peene River
    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.
  • E. Nahe
    Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaae38ee48190bf783477bc37913d completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0549746b0819099c2a591900f9c8c completed April 4, 2026, midnight
Created at: March 30, 2026, 7:22 p.m.