Triple

T6358425
Position Surface form Disambiguated ID Type / Status
Subject S26 E143048 entity
Predicate fareArea P70176 FINISHED
Object Berlin ABC E139351 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: Berlin ABC | Statement: [S26, fareArea, Berlin ABC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin ABC
Context triple: [S26, fareArea, Berlin ABC]
  • A. Berlin ABC chosen
    Berlin ABC is a public transport fare zone in Berlin that covers the entire city and its surrounding areas within the integrated tariff system.
  • B. Alt-Berlin
    Alt-Berlin refers to the historic core of Berlin, encompassing the city’s earliest medieval settlements and forming the nucleus from which modern Berlin developed.
  • C. Street, Berlin
    Street, Berlin is a 1913 oil painting by German Expressionist Ernst Ludwig Kirchner, renowned for its vivid colors and distorted forms depicting the frenetic energy and alienation of modern urban life.
  • D. Bauhaus Berlin
    Bauhaus Berlin is a key branch and exhibition space of the Bauhaus movement in Germany, showcasing its influential modernist design, architecture, and educational legacy.
  • E. Bad Godesberg
    Bad Godesberg is a district in the city of Bonn, Germany, known for its affluent residential areas, former diplomatic missions, and scenic location along the Rhine River.
  • 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: fareArea
Context triple: [S26, fareArea, Berlin ABC]
  • A. venueArea
    Indicates the physical size or spatial extent of a venue, typically measured in units such as square meters or square feet.
  • B. area
    Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
  • C. hasFloorArea
    Indicates that an entity possesses a specified amount of floor space as a measurable area.
  • D. roofArea
    Indicates the total surface area covered by the roof of a structure.
  • E. standardArea
    Indicates that an entity has a designated or officially defined area or size that serves as a standard reference.
  • F. None of above. chosen

Provenance (5 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f5bdd481909cf9db595ddb27df completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d5f134c8190817037ad933c4d2b completed March 27, 2026, 7:10 a.m.
PD Predicate disambiguation batch_69c060ec091c8190912aac44e1b8b1c9 completed March 22, 2026, 9:36 p.m.
PDg Predicate description generation batch_69c0623bb29081908bfdfb84a07ece90 completed March 22, 2026, 9:42 p.m.
Created at: March 22, 2026, 4:32 p.m.