Triple

T17196930
Position Surface form Disambiguated ID Type / Status
Subject Old Town of Heidelberg E417375 entity
Predicate partOf P40 FINISHED
Object Heidelberg city center E15415 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: Heidelberg city center | Statement: [Old Town of Heidelberg, partOf, Heidelberg city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heidelberg city center
Context triple: [Old Town of Heidelberg, partOf, Heidelberg city center]
  • A. Marktplatz Heidelberg
    Marktplatz Heidelberg is the historic central market square of Heidelberg’s Old Town, surrounded by notable landmarks, cafés, and shops, and serving as a focal point for local events and tourism.
  • 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. Heidberg
    Heidberg is a small locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dab718c8190b6f5b08189cf2eb2 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fd7ef048190b0828ec6ea0e119c completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.