Triple

T9487217
Position Surface form Disambiguated ID Type / Status
Subject Industrieviertel E228790 entity
Predicate hasSubregion P285 FINISHED
Object Steinfeld E651234 NE FINISHED

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: Steinfeld | Statement: [Industrieviertel, hasSubregion, Steinfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steinfeld
Context triple: [Industrieviertel, hasSubregion, Steinfeld]
  • A. Steinfeld
    Steinfeld is the surname of American actress and singer Hailee Steinfeld, known for her roles in films like "True Grit" and "Pitch Perfect 2" and for her pop music career.
  • B. Steinfeld chosen
    Steinfeld is a municipality in the District of Vechta in Lower Saxony, Germany, known for its rural character and agricultural economy.
  • C. Sennfeld
    Sennfeld is a municipality in the Schweinfurt district of Bavaria, Germany, known for its traditional Franconian character and proximity to the city of Schweinfurt.
  • D. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • E. Heidenfeld
    Heidenfeld is a village in Bavaria, Germany, known as the birthplace of Cardinal Michael von Faulhaber.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd8051303881909566126a2688e41c completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152670dcc8190abcaabbd62c97a34 completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 7:55 p.m.