Triple

T10950640
Position Surface form Disambiguated ID Type / Status
Subject Hamburg Airport E258716 entity
Predicate located in state P40 FINISHED
Object Hamburg E7419 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: Hamburg | Statement: [Hamburg Airport, located in state, Hamburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamburg
Context triple: [Hamburg Airport, located in state, Hamburg]
  • A. Hamburg chosen
    Hamburg is Germany’s second-largest city and a major northern European port and cultural center on the River Elbe.
  • 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. Gotenhafen
    Gotenhafen was the German name for the port city of Gdynia in occupied Poland during World War II, used as a major naval base by the Kriegsmarine.
  • D. Hamburg and Lübeck
    Hamburg and Lübeck is a diocese of the Evangelical Lutheran Church in Northern Germany that encompasses the historic Hanseatic cities of Hamburg and Lübeck and their surrounding regions.
  • 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: located in state
Context triple: [Hamburg Airport, located in state, Hamburg]
  • A. locatedIn chosen
    Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
  • B. regionalLocationWithinState
    Indicates that one region is geographically located within the boundaries of a specific state.
  • C. locatedInFederalEntity
    Indicates that one entity is geographically or administratively situated within the jurisdiction or boundaries of a specified federal entity.
  • D. locatedInFormerState
    Indicates that an entity is or was geographically situated within the boundaries of a political state that no longer exists in its former form.
  • E. locatedInCapital
    Indicates that an entity is situated within the capital city of a specified region, country, or administrative 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ed2f1c819081ec58457f57889d completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4f34d1e108190ad281dae6c92634e completed April 19, 2026, 3:22 p.m.
PD Predicate disambiguation batch_69d72e874f48819096ffa878f90c7d5b completed April 9, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:23 p.m.