Triple

T20559420
Position Surface form Disambiguated ID Type / Status
Subject Agfa film production E504805 entity
Predicate associatedWith P37 FINISHED
Object Agfa-Wolfen plant 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: Agfa-Wolfen plant | Statement: [Agfa film production, associatedWith, Agfa-Wolfen plant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agfa-Wolfen plant
Context triple: [Agfa film production, associatedWith, Agfa-Wolfen plant]
  • A. Fagus Factory
    Fagus Factory is an early 20th-century German industrial building designed by Walter Gropius that is celebrated as a pioneering work of modernist architecture.
  • B. Buna-Werke
    Buna-Werke was a synthetic rubber and fuel plant operated by IG Farben near Auschwitz, notorious for its use of forced labor from the adjacent Monowitz concentration camp during World War II.
  • C. Chemische Fabrik Kalle
    Chemische Fabrik Kalle was a German chemical company that became part of the conglomerate IG Farben, historically significant in the development of the country’s chemical industry.
  • D. Agfa chosen
    Agfa is a historic German company best known for its photographic films, cameras, and imaging technologies.
  • E. Peine steelworks
    Peine steelworks is a major steel production plant in Peine, Germany, known for its long-standing role in regional heavy industry and metal manufacturing.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5e178648190910795bae5422e50 completed April 20, 2026, 10:17 p.m.
Created at: April 16, 2026, 11:38 a.m.