Triple

T3901466
Position Surface form Disambiguated ID Type / Status
Subject Hamburg Freezers E90498 entity
Predicate region P40 FINISHED
Object State of Hamburg E7419 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: State of Hamburg | Statement: [Hamburg Freezers, region, State of Hamburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of Hamburg
Context triple: [Hamburg Freezers, region, State of Hamburg]
  • A. federal state of Berlin
    The federal state of Berlin is both Germany’s capital city and one of its 16 constituent states, functioning as a major political, cultural, and economic center in Europe.
  • B. Bremen
    Bremen is a city-state in northwestern Germany comprising the cities of Bremen and Bremerhaven, known for its historic Hanseatic heritage and major port on the Weser River.
  • C. Hamburg metropolitan region
    The Hamburg metropolitan region is a major economic and population center in northern Germany, anchored by the city of Hamburg and its extensive port and logistics industries.
  • D. Hamburg chosen
    Hamburg is Germany’s second-largest city and a major northern European port and cultural center on the River Elbe.
  • E. Hanover Region
    Hanover Region is a district-level administrative region in the German state of Lower Saxony that includes the city of Hanover and surrounding municipalities.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecf2f230819099abc109a0b7d916 completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51ca7636081908f98c4e22617f808 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:21 p.m.