Triple

T7496477
Position Surface form Disambiguated ID Type / Status
Subject Bremerhaven E177141 entity
Predicate isSeaportOf P53991 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: [Bremerhaven, isSeaportOf, Bremen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bremen
Context triple: [Bremerhaven, isSeaportOf, 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: isSeaportOf
Context triple: [Bremerhaven, isSeaportOf, Bremen]
  • A. isPortOfCallFor
    Indicates that a location serves as a scheduled stop or destination for a ship, vehicle, or journey.
  • B. isMainHarbourOf
    Indicates that a harbour serves as the primary or principal port facility for a specified location or region.
  • C. isHomePortOf
    Indicates that a particular location serves as the primary base or port where a vessel or fleet is officially registered, stationed, or regularly returns.
  • D. isAmongLargestPortsIn
    Indicates that a port ranks among the largest ports within a specified geographic or administrative area.
  • E. isMainDeepWaterPortFor chosen
    Indicates that one location serves as the primary deep-water port facility for another entity, such as a region, city, or country.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f81b431481908214b69c6c8d83bc completed March 27, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8fa20137081909a21ac366c19407f completed March 29, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69c6f4d266d88190982cf5d2ee2e9564 completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:43 p.m.