Triple

T22870125
Position Surface form Disambiguated ID Type / Status
Subject National Center for Tumor Diseases Heidelberg E567169 entity
Predicate locatedIn P40 FINISHED
Object Heidelberg, Baden-Württemberg, Germany NE NERFINISHED

How this triple was built (3 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, Baden-Württemberg, Germany | Statement: [National Center for Tumor Diseases Heidelberg, locatedIn, Heidelberg, Baden-Württemberg, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heidelberg, Baden-Württemberg, Germany
Context triple: [National Center for Tumor Diseases Heidelberg, locatedIn, Heidelberg, Baden-Württemberg, Germany]
  • A. Tübingen, Germany
    Tübingen, Germany, is a historic university town in the state of Baden-Württemberg known for its medieval old town and renowned Eberhard Karls University.
  • B. Badenweiler, Germany
    Badenweiler, Germany is a spa town in the Black Forest region of southwestern Germany, renowned for its thermal baths and historic resort atmosphere.
  • C. Bietigheim-Bissingen, Germany
    Bietigheim-Bissingen is a town in the German state of Baden-Württemberg known for its strong industrial base and proximity to major automotive and engineering companies.
  • D. Hesse, Germany
    Hesse, Germany is a federal state in central Germany known for its financial hub Frankfurt am Main, forested landscapes, and historic cities such as Wiesbaden and Kassel.
  • E. Weinheim, Germany
    Weinheim, Germany is a town in the state of Baden-Württemberg known for its historic old town, twin castles, and role as a regional economic and publishing center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Heidelberg, Baden-Württemberg, Germany
Target entity description: Heidelberg is a historic university city in the German state of Baden-Württemberg, renowned for its picturesque old town, castle ruins, and status as a major center for research and education.
  • A. Tübingen, Germany
    Tübingen, Germany, is a historic university town in the state of Baden-Württemberg known for its medieval old town and renowned Eberhard Karls University.
  • B. Badenweiler, Germany
    Badenweiler, Germany is a spa town in the Black Forest region of southwestern Germany, renowned for its thermal baths and historic resort atmosphere.
  • C. Bietigheim-Bissingen, Germany
    Bietigheim-Bissingen is a town in the German state of Baden-Württemberg known for its strong industrial base and proximity to major automotive and engineering companies.
  • D. Hesse, Germany
    Hesse, Germany is a federal state in central Germany known for its financial hub Frankfurt am Main, forested landscapes, and historic cities such as Wiesbaden and Kassel.
  • E. Weinheim, Germany
    Weinheim, Germany is a town in the state of Baden-Württemberg known for its historic old town, twin castles, and role as a regional economic and publishing center.
  • F. None of above. chosen

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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f04b06481909004818ec8fc5a26 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.