Triple

T12446869
Position Surface form Disambiguated ID Type / Status
Subject Sarstedt E297421 entity
Predicate hasEducationalInstitution P113 FINISHED
Object KGS Sarstedt E297421 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: KGS Sarstedt | Statement: [Sarstedt, hasEducationalInstitution, KGS Sarstedt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KGS Sarstedt
Context triple: [Sarstedt, hasEducationalInstitution, KGS Sarstedt]
  • A. Sarstedt chosen
    Sarstedt is a small town in Lower Saxony, Germany, situated near Hanover and known for its location along the River Leine.
  • B. Schröttinghausen, Germany
    Schröttinghausen is a small locality in Germany best known as the birthplace of influential astronomer Walter Baade.
  • C. Biesterfeld
    Biesterfeld was a historic estate in the Principality of Lippe that served as the ancestral seat of the Lippe-Biesterfeld noble line.
  • D. Delbrück
    Delbrück is a German surname most notably associated with Nobel Prize–winning biophysicist Max Delbrück and several other prominent figures in science and humanities.
  • E. Hollenstedt
    Hollenstedt is a municipality in Lower Saxony, Germany, located in the district of Harburg southwest of Hamburg.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d90f18c819083a36ff4b9be4a20 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f132d048190b58a8381bdc74cad completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.