Triple

T21357664
Position Surface form Disambiguated ID Type / Status
Subject Hammelburg E526677 entity
Predicate hasSubdivision P747 FINISHED
Object Obereschenbach 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: Obereschenbach | Statement: [Hammelburg, hasSubdivision, Obereschenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obereschenbach
Context triple: [Hammelburg, hasSubdivision, Obereschenbach]
  • A. Oeschenbach
    Oeschenbach is a small municipality in the Oberaargau region of the canton of Bern in Switzerland.
  • B. Breitenbach
    Breitenbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its location in the Thierstein district near the French border.
  • C. Oberreichenbach
    Oberreichenbach is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, characterized by its rural setting and local community life.
  • D. Oberreichenbach
    Oberreichenbach is a small municipality in the northern Black Forest region of Baden-Württemberg in southwestern Germany.
  • E. Oberschweinbach
    Oberschweinbach is a small municipality in the Upper Bavarian region of Germany, situated within the rural area west of Munich.
  • 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: Obereschenbach
Target entity description: Obereschenbach is a village-level district of the town of Hammelburg in the Bavarian region of Germany.
  • A. Oeschenbach
    Oeschenbach is a small municipality in the Oberaargau region of the canton of Bern in Switzerland.
  • B. Breitenbach
    Breitenbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its location in the Thierstein district near the French border.
  • C. Oberreichenbach
    Oberreichenbach is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, characterized by its rural setting and local community life.
  • D. Oberreichenbach
    Oberreichenbach is a small municipality in the northern Black Forest region of Baden-Württemberg in southwestern Germany.
  • E. Oberschweinbach
    Oberschweinbach is a small municipality in the Upper Bavarian region of Germany, situated within the rural area west of Munich.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8afa2d11c81908608851940e4e6d3 completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:07 p.m.