Triple

T23015054
Position Surface form Disambiguated ID Type / Status
Subject Gleis 17 memorial E573009 entity
Predicate locatedInDistrict P40 FINISHED
Object Grunewald 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: Grunewald | Statement: [Gleis 17 memorial, locatedInDistrict, Grunewald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grunewald
Context triple: [Gleis 17 memorial, locatedInDistrict, Grunewald]
  • A. Grunewald chosen
    Grunewald is a forested, upscale district in western Berlin known for its large woodland area, lakes, and villas.
  • B. Grunewald forest
    Grunewald forest is a large woodland and recreational area in western Berlin, known for its lakes, walking trails, and natural landscapes.
  • C. Matthias Grünewald
    Matthias Grünewald was a German painter renowned for his intensely emotional and expressive religious works, most famously the Isenheim Altarpiece, which stand out within the Northern Renaissance for their dramatic color and visionary imagery.
  • D. Isenheim
    Isenheim is a town in the Alsace region of northeastern France historically known for the monastery that housed the famous Isenheim Altarpiece.
  • E. Creutzwald
    Creutzwald is a small industrial town in northeastern France near the German border, known historically for its coal mining and glassmaking industries.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e3c0e08190a7ac747b056ec3ca completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.