Triple

T6624542
Position Surface form Disambiguated ID Type / Status
Subject Theodor Heuss E149761 entity
Predicate birthPlace P1 FINISHED
Object Brackenheim E149761 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: Brackenheim | Statement: [Theodor Heuss, birthPlace, Brackenheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brackenheim
Context triple: [Theodor Heuss, birthPlace, Brackenheim]
  • A. Brackenheim chosen
    Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
  • B. Brackenberg
    Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
  • C. Bergheim
    Bergheim is a municipality in the Austrian state of Salzburg, located just north of the city of Salzburg and known for its suburban character and proximity to the regional capital.
  • D. Blankenheim
    Blankenheim is a municipality in western Germany, known for its historic town center and location in the Eifel region of North Rhine-Westphalia.
  • E. Mülbracht
    Mülbracht is a historical locality in the Holy Roman Empire known primarily as the birthplace of the Dutch Golden Age engraver and painter Hendrick Goltzius.
  • 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_69c7422f57848190901b31229825b9e2 completed March 28, 2026, 2:51 a.m.
Created at: March 27, 2026, 1:58 p.m.