Triple

T10738777
Position Surface form Disambiguated ID Type / Status
Subject Goldene Kamera E253263 entity
Predicate previousVenueCity P19642 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: [Goldene Kamera, previousVenueCity, Hamburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamburg
Context triple: [Goldene Kamera, previousVenueCity, 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: previousVenueCity
Context triple: [Goldene Kamera, previousVenueCity, Hamburg]
  • A. previousHostCity
    Indicates that one city served as the immediately preceding host city relative to another in a sequence of hosting events.
  • B. cityOfVenue chosen
    Indicates the city in which a given venue is located.
  • C. previousVenue
    Indicates that one venue was used or occupied before another in a sequence of venues.
  • D. previousCity
    Indicates that one city was the immediately preceding location visited or lived in before another city.
  • E. hostCityOfEvent
    Indicates that a city serves as the location where a particular event is held or takes place.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710424d8c81908ee9b59d622f2af5 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff78257b88190942308719d9fa6a6 completed April 15, 2026, 8:39 p.m.
PD Predicate disambiguation batch_69d6f30df9948190ab3cdc33977fac14 completed April 9, 2026, 12:30 a.m.
Created at: April 8, 2026, 9:14 p.m.