Triple

T23452949
Position Surface form Disambiguated ID Type / Status
Subject Weinheim E567834 entity
Predicate hasLandmark P105 FINISHED
Object Exotenwald Weinheim 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: Exotenwald Weinheim | Statement: [Weinheim, hasLandmark, Exotenwald Weinheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Exotenwald Weinheim
Context triple: [Weinheim, hasLandmark, Exotenwald Weinheim]
  • A. Exotenwald Weinheim chosen
    Exotenwald Weinheim is a botanical arboretum in Weinheim, Germany, known for its extensive collection of exotic and rare tree species from around the world.
  • B. Frankfurter Stadtwald
    Frankfurter Stadtwald is a large urban forest in Frankfurt am Main, Germany, known for its extensive network of walking and cycling paths, recreational areas, and natural landscapes.
  • C. Neckarauer Wald
    Neckarauer Wald is a forested area and local recreational green space in the Mannheim district of Neckarau in southwestern Germany.
  • D. Heidelberg city forest
    Heidelberg city forest is a large woodland area surrounding the German city of Heidelberg, known for its extensive hiking trails, natural landscapes, and recreational opportunities.
  • E. Hoheneichen
    Hoheneichen is a residential quarter in the Hamburg district of Ohlsdorf, known for its quiet streets and proximity to green spaces and cemeteries.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a694f19081909117bc9b10ca8a83 completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:52 p.m.