Triple

T1886594
Position Surface form Disambiguated ID Type / Status
Subject Airbus A380 E39977 entity
Predicate tailFinManufacturingLocation P5255 FINISHED
Object Hamburg, Germany 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, Germany | Statement: [Airbus A380, tailFinManufacturingLocation, Hamburg, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamburg, Germany
Context triple: [Airbus A380, tailFinManufacturingLocation, Hamburg, Germany]
  • A. Hamburg chosen
    Hamburg is Germany’s second-largest city and a major northern European port and cultural center on the River Elbe.
  • B. Hamm, Germany
    Hamm is a city in the German state of North Rhine-Westphalia, known as an industrial and transportation hub in the eastern Ruhr area.
  • C. Brunswick, Germany
    Brunswick, Germany is a historic city in Lower Saxony known for its medieval architecture, former status as a ducal residence, and role as an important commercial and cultural center in northern Germany.
  • D. Flensburg, Germany
    Flensburg, Germany is a historic port city in northern Germany near the Danish border, known for its maritime heritage and role as the last seat of the German government at the end of World War II.
  • E. Nassau, Germany
    Nassau, Germany is a historic town on the Lahn River in the state of Rhineland-Palatinate, known as the ancestral seat of the House of Nassau.
  • 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: tailFinManufacturingLocation
Context triple: [Airbus A380, tailFinManufacturingLocation, Hamburg, Germany]
  • A. hasFins
    Indicates that an entity possesses fins as physical appendages.
  • B. hasDorsalFin
    Indicates that an entity possesses a dorsal fin as a physical anatomical feature.
  • C. hasSouthernTerminus
    Indicates that one entity serves as the southern endpoint or terminus of another entity, such as a route, line, or path.
  • D. mainManufacturingSite chosen
    Indicates the primary location where an entity’s products are manufactured or produced.
  • E. shipyard
    Indicates a relationship where a location functions as a facility for building, repairing, or maintaining ships.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb12032c881909cd93e3601906f48 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae030bfbcc8190842a2bc69afb0db2 completed March 8, 2026, 11:15 p.m.
PD Predicate disambiguation batch_69abafe61bc48190ac9ead027df930e1 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:34 p.m.