Triple

T22870228
Position Surface form Disambiguated ID Type / Status
Subject Heidelberg tram network E567171 entity
Predicate serves P98 FINISHED
Object Handschuhsheim district 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: Handschuhsheim district | Statement: [Heidelberg tram network, serves, Handschuhsheim district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Handschuhsheim district
Context triple: [Heidelberg tram network, serves, Handschuhsheim district]
  • A. Kirchheim district
    The Kirchheim district is a residential area of Heidelberg, Germany, integrated into the city’s public transport system and connected to the center by the Heidelberg tram network.
  • B. Bergheim district
    Bergheim district is an urban area of Heidelberg, Germany, known for its mix of residential neighborhoods, commercial spaces, and university facilities including the Bergheim campus.
  • C. Miesbach district
    Miesbach district is a rural administrative district in Upper Bavaria, Germany, known for its Alpine landscapes, lakes, and popular tourist destinations.
  • D. Schwäbisch Hall district
    Schwäbisch Hall district is a rural administrative district (Landkreis) in the state of Baden-Württemberg in southern Germany, known for its historic towns and scenic landscapes.
  • E. Birkenfeld district
    Birkenfeld district is an administrative district in the state of Rhineland-Palatinate in western Germany, known for its rural landscapes and small towns.
  • 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: Handschuhsheim district
Target entity description: Handschuhsheim district is a historic residential quarter in the north of Heidelberg, Germany, known for its village-like character, old town center, and vineyards.
  • A. Kirchheim district
    The Kirchheim district is a residential area of Heidelberg, Germany, integrated into the city’s public transport system and connected to the center by the Heidelberg tram network.
  • B. Bergheim district
    Bergheim district is an urban area of Heidelberg, Germany, known for its mix of residential neighborhoods, commercial spaces, and university facilities including the Bergheim campus.
  • C. Miesbach district
    Miesbach district is a rural administrative district in Upper Bavaria, Germany, known for its Alpine landscapes, lakes, and popular tourist destinations.
  • D. Schwäbisch Hall district
    Schwäbisch Hall district is a rural administrative district (Landkreis) in the state of Baden-Württemberg in southern Germany, known for its historic towns and scenic landscapes.
  • E. Birkenfeld district
    Birkenfeld district is an administrative district in the state of Rhineland-Palatinate in western Germany, known for its rural landscapes and small towns.
  • 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.