Triple

T18386304
Position Surface form Disambiguated ID Type / Status
Subject Darmstadt E446601 entity
Predicate nickname P55 FINISHED
Object Wissenschaftsstadt 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 | Statement: [Darmstadt, nickname, Wissenschaftsstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wissenschaftsstadt
Context triple: [Darmstadt, nickname, Wissenschaftsstadt]
  • A. Wissenschaftsstadt chosen
    Wissenschaftsstadt is the German nickname for Darmstadt, highlighting its status as a major center of scientific research and higher education.
  • B. Stadt der Wissenschaften
    Stadt der Wissenschaften is a nickname highlighting Göttingen’s long-standing reputation as a major German center of academic research and higher education.
  • C. Berlin-Adlershof Science City
    Berlin-Adlershof Science City is a major science and technology hub in Berlin that combines research institutes, high-tech companies, and university facilities in an integrated innovation campus.
  • D. Quadratestadt
    Quadratestadt is the German nickname for the city of Mannheim, referring to its distinctive grid-like layout of city blocks.
  • E. Siemensstadt
    Siemensstadt is a Berlin neighborhood historically shaped by the Siemens industrial works and noted for its early 20th-century modernist housing developments.
  • 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.