Triple

T18386305
Position Surface form Disambiguated ID Type / Status
Subject Darmstadt E446601 entity
Predicate designation P38 FINISHED
Object Wissenschaftsstadt Darmstadt NE NERFINISHED

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: Wissenschaftsstadt Darmstadt | Statement: [Darmstadt, designation, Wissenschaftsstadt Darmstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wissenschaftsstadt Darmstadt
Context triple: [Darmstadt, designation, Wissenschaftsstadt Darmstadt]
  • A. Darmstadt
    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. Wissenschaftsstadt chosen
    Wissenschaftsstadt is the German nickname for Darmstadt, highlighting its status as a major center of scientific research and higher education.
  • D. Heidberg
    Heidberg is a small locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
  • E. Göttingen
    Göttingen is a historic university city in Lower Saxony, Germany, renowned for its prestigious Georg-August University and contributions to science and mathematics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e517a00c608190a8f0010c7b53df90 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:46 a.m.