Triple

T16224908
Position Surface form Disambiguated ID Type / Status
Subject Regierungsbezirk Darmstadt E393819 entity
Predicate contains P35 FINISHED
Object Stadt Darmstadt E107304 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: Stadt Darmstadt | Statement: [Regierungsbezirk Darmstadt, contains, Stadt Darmstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadt Darmstadt
Context triple: [Regierungsbezirk Darmstadt, contains, Stadt Darmstadt]
  • A. Darmstadt chosen
    Darmstadt is a city in the German state of Hesse known for its historical ties to the Grand Duchy of Hesse and its role as a center of science, technology, and Art Nouveau culture.
  • B. Darmstadt-Dieburg
    Darmstadt-Dieburg is a rural district in the state of Hesse in central Germany, surrounding the city of Darmstadt and comprising numerous towns and municipalities.
  • C. Wiesbaden
    Wiesbaden is a historic spa city in western Germany known for its thermal springs, elegant architecture, and role as a regional administrative and cultural center.
  • D. Karlsruhe
    Karlsruhe is a major city in southwestern Germany best known as the seat of the country’s highest courts and a central hub of German constitutional jurisprudence.
  • E. Straußfurt
    Straußfurt is a municipality in the German state of Thuringia, known for its rural setting and proximity to the Unstrut River.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d24f9688190b670cfeb73332293 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00580b94c88190a3330791e505fd6a completed May 10, 2026, 10:03 a.m.
Created at: April 10, 2026, 5:03 a.m.