Triple

T6624513
Position Surface form Disambiguated ID Type / Status
Subject Schweinfurt region E149760 entity
Predicate containsTown P847 FINISHED
Object Oberwerrn E635002 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: Oberwerrn | Statement: [Schweinfurt region, containsTown, Oberwerrn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberwerrn
Context triple: [Schweinfurt region, containsTown, Oberwerrn]
  • A. Oberweier
    Oberweier is a district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany, known for its village character within the Murg Valley region.
  • B. Niederwerrn chosen
    Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • C. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • D. Pleiskirchen
    Pleiskirchen is a small municipality in Bavaria, Germany, known as the birthplace of German Catholic priest and musician Georg Ratzinger, brother of Pope Benedict XVI.
  • E. Henndorf am Wallersee
    Henndorf am Wallersee is a lakeside municipality in the Austrian state of Salzburg, known for its scenic setting on Lake Wallersee and its proximity to the city of Salzburg.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7fc054819099a2e58cefd8fed7 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7880545c4819091979008c84b3325 completed March 28, 2026, 7:49 a.m.
Created at: March 27, 2026, 1:58 p.m.