Triple

T12517533
Position Surface form Disambiguated ID Type / Status
Subject Stölpchensee E299226 entity
Predicate locatedInOrNextTo P40 FINISHED
Object Grunewald E25888 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: Grunewald | Statement: [Stölpchensee, locatedInOrNextTo, Grunewald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grunewald
Context triple: [Stölpchensee, locatedInOrNextTo, Grunewald]
  • A. Grunewald
    Grunewald is a forested, upscale district in western Berlin known for its large woodland area, lakes, and villas.
  • B. Grunewald forest chosen
    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 (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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541f80148190976d1d912fe155d0 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbd58b88190baeb99380babf64f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.