Triple

T20643240
Position Surface form Disambiguated ID Type / Status
Subject Terminal B (Hannover Airport) E507283 entity
Predicate locatedIn P40 FINISHED
Object Langenhagen NE NERFINISHED

How this triple was built (2 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: Langenhagen | Statement: [Terminal B (Hannover Airport), locatedIn, Langenhagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langenhagen
Context triple: [Terminal B (Hannover Airport), locatedIn, Langenhagen]
  • A. Langenhagen chosen
    Langenhagen is a town in Lower Saxony, Germany, located just north of Hanover and known for hosting part of Hanover Airport and various industrial and commercial facilities.
  • B. Reinbek
    Reinbek is a town in northern Germany’s Schleswig-Holstein state, located just east of Hamburg and known for its historic castle and proximity to the Sachsenwald forest.
  • C. Stolzenhagen
    Stolzenhagen is a village and locality within the municipality of Wandlitz in the state of Brandenburg, Germany.
  • D. Blankenfelde-Mahlow
    Blankenfelde-Mahlow is a municipality in the Teltow-Fläming district of Brandenburg, Germany, located just south of Berlin and known as a suburban residential area within the Berlin metropolitan region.
  • E. Hellersdorf
    Hellersdorf is a locality in eastern Berlin, Germany, known for its large prefabricated housing estates built during the GDR era.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1c51f48190abba54a5aace9fc8 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.