Triple

T18274957
Position Surface form Disambiguated ID Type / Status
Subject Heidelberg city forest E437709 entity
Predicate partOf P40 FINISHED
Object Heidelberg municipal area 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: Heidelberg municipal area | Statement: [Heidelberg city forest, partOf, Heidelberg municipal area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heidelberg municipal area
Context triple: [Heidelberg city forest, partOf, Heidelberg municipal area]
  • A. Karlsruhe district
    Karlsruhe district is a rural administrative district (Landkreis) in the state of Baden-Württemberg in southwestern Germany, surrounding but not including the city of Karlsruhe.
  • B. Heidelberg chosen
    Heidelberg is a historic university city in southwestern Germany renowned for its picturesque old town, castle ruins, and one of Europe’s oldest universities.
  • C. Heidelberg
    Heidelberg is a suburb of Melbourne, Australia, known for its historic role in Australian Impressionism and its location along the Yarra River.
  • D. Heidelberg
    Heidelberg is a South African town known for its historical significance and role as a regional service and commercial center.
  • E. Heppenheim
    Heppenheim is a historic town in southwestern Germany, known for its picturesque old town, vineyards, and location on the Bergstraße at the edge of the Odenwald.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50050d6688190b909a1c24e1dd3c9 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.