Triple

T22435506
Position Surface form Disambiguated ID Type / Status
Subject Ortsbezirk 6 Frankfurt am Main E554610 entity
Predicate hasIndustrialArea P40 FINISHED
Object Industriepark Höchst NE NERFINISHED

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: Industriepark Höchst | Statement: [Ortsbezirk 6 Frankfurt am Main, hasIndustrialArea, Industriepark Höchst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Industriepark Höchst
Context triple: [Ortsbezirk 6 Frankfurt am Main, hasIndustrialArea, Industriepark Höchst]
  • A. Bockenheim
    Bockenheim is a lively urban district of Frankfurt am Main known for its mix of residential areas, shops, and university facilities.
  • B. Berlin-Adlershof Science City
    Berlin-Adlershof Science City is a major science and technology hub in Berlin that combines research institutes, high-tech companies, and university facilities in an integrated innovation campus.
  • C. Siemensstadt
    Siemensstadt is a Berlin neighborhood historically shaped by the Siemens industrial works and noted for its early 20th-century modernist housing developments.
  • D. Borsigwerke industrial complex
    The Borsigwerke industrial complex is a historic former locomotive and engineering factory site in Berlin that has become a notable architectural and industrial heritage landmark.
  • E. Chemiepark Marl
    Chemiepark Marl is one of Germany’s largest chemical production complexes, hosting numerous chemical companies and extensive research and manufacturing facilities in the city of Marl.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Industriepark Höchst
Target entity description: Industriepark Höchst is one of Europe’s largest and most important chemical and pharmaceutical industrial parks, located in Frankfurt am Main, Germany.
  • A. Bockenheim
    Bockenheim is a lively urban district of Frankfurt am Main known for its mix of residential areas, shops, and university facilities.
  • B. Berlin-Adlershof Science City
    Berlin-Adlershof Science City is a major science and technology hub in Berlin that combines research institutes, high-tech companies, and university facilities in an integrated innovation campus.
  • C. Siemensstadt
    Siemensstadt is a Berlin neighborhood historically shaped by the Siemens industrial works and noted for its early 20th-century modernist housing developments.
  • D. Borsigwerke industrial complex
    The Borsigwerke industrial complex is a historic former locomotive and engineering factory site in Berlin that has become a notable architectural and industrial heritage landmark.
  • E. Chemiepark Marl
    Chemiepark Marl is one of Germany’s largest chemical production complexes, hosting numerous chemical companies and extensive research and manufacturing facilities in the city of Marl.
  • F. None of above. chosen

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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15adda0e48190825a5b705ae52d5b completed April 29, 2026, 1:11 a.m.
Created at: April 16, 2026, 8:47 p.m.