Triple

T3565120
Position Surface form Disambiguated ID Type / Status
Subject Delmenhorst E75428 entity
Predicate isCommuterCityFor P15376 FINISHED
Object Bremen E76455 NE FINISHED

How this triple was built (3 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: Bremen | Statement: [Delmenhorst, isCommuterCityFor, Bremen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bremen
Context triple: [Delmenhorst, isCommuterCityFor, Bremen]
  • A. Bremen chosen
    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.
  • B. Braunschweig
    Braunschweig is a historic city in northern Germany known for its medieval architecture, cultural institutions, and role as an important economic and scientific center.
  • C. Hamburg
    Hamburg is Germany’s second-largest city and a major northern European port and cultural center on the River Elbe.
  • D. Lüneburg
    Lüneburg is a historic Hanseatic town in northern Germany renowned for its medieval architecture and former wealth from salt mining.
  • E. Lübeck
    Lübeck is a historic Hanseatic city in northern Germany renowned for its medieval architecture and long-standing role as a key trading hub on the Baltic Sea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isCommuterCityFor
Context triple: [Delmenhorst, isCommuterCityFor, Bremen]
  • A. isCommuterRegionFor
    Indicates that one region primarily serves as a residential base whose inhabitants regularly travel to another region for work or daily activities.
  • B. commuterCityFor
    Indicates that one city serves as a primary place of work or regular commuting destination for residents of another city.
  • C. isInCity
    Indicates that one entity is located within the geographical boundaries of a specified city.
  • D. hasCommuterPopulation
    Indicates that a place has a significant number of people who regularly travel to or from it for work, study, or other routine activities.
  • E. isSuburbanCityOf chosen
    Indicates that one city is a suburban municipality that is part of, or closely associated with, a larger primary city or metropolitan area.
  • F. None of above.

Provenance (4 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0a8f6288190928479f5bea32245 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4c189208190b387c2f504047a35 completed March 14, 2026, 10:44 p.m.
PD Predicate disambiguation batch_69adb834779081908468e182d5f6cf02 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:21 p.m.