Triple

T3006782
Position Surface form Disambiguated ID Type / Status
Subject Hannover Scorpions E81921 entity
Predicate region P40 FINISHED
Object Hanover region E298829 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: Hanover region | Statement: [Hannover Scorpions, region, Hanover region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanover region
Context triple: [Hannover Scorpions, region, Hanover region]
  • A. Hanover Region chosen
    Hanover Region is a district-level administrative region in the German state of Lower Saxony that includes the city of Hanover and surrounding municipalities.
  • B. Lower Saxony
    Lower Saxony is a large federal state in northwestern Germany known for its diverse landscapes, strong industrial base, and historic cities such as Hanover and Göttingen.
  • C. Harz district
    Harz district is an administrative district in central Germany known for encompassing much of the Harz mountain range, including historic towns and natural landscapes.
  • D. Ansbach region
    The Ansbach region is an area in the German state of Bavaria, historically part of Franconia and known for its distinct East Franconian dialect and cultural heritage.
  • E. Detmold region
    The Detmold region is an administrative region in the German state of North Rhine-Westphalia, encompassing several districts and towns in the eastern part of the state.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a48f0888190bdec150dac623851 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8663fb881909d7c179f4f61d313 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3 p.m.