Triple

T12057283
Position Surface form Disambiguated ID Type / Status
Subject Waldbühne E287073 entity
Predicate surroundedBy P224 FINISHED
Object Grunewald forest area 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 forest area | Statement: [Waldbühne, surroundedBy, Grunewald forest area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grunewald forest area
Context triple: [Waldbühne, surroundedBy, Grunewald forest area]
  • A. Grunewald forest chosen
    Grunewald forest is a large woodland and recreational area in western Berlin, known for its lakes, walking trails, and natural landscapes.
  • B. Wermsdorf Forest
    Wermsdorf Forest is a large woodland area in Saxony, Germany, known for its historic hunting grounds and scenic landscapes.
  • C. Schorfheide forest
    Schorfheide forest is a large historic woodland and former royal hunting reserve in Brandenburg, Germany, known for its rich biodiversity and use as a retreat by political leaders.
  • D. Schönbuch forest
    Schönbuch forest is a large protected woodland and nature park in Baden-Württemberg, Germany, known for its diverse wildlife, hiking trails, and recreational areas near the city of Stuttgart.
  • E. Granitz Forest
    Granitz Forest is a scenic woodland area on Germany’s Rügen Island, known for its beech forests, hiking trails, and the historic Granitz Hunting Lodge.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043bf0ec8190a51ef2641808320c completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dea043c8190a74ffb448bbae5d0 completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.