Triple

T623745
Position Surface form Disambiguated ID Type / Status
Subject Chemnitz River E14568 entity
Predicate hasCityOnRiver P17819 FINISHED
Object Chemnitz E1679 NE FINISHED

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: Chemnitz | Statement: [Chemnitz River, hasCityOnRiver, Chemnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chemnitz
Context triple: [Chemnitz River, hasCityOnRiver, Chemnitz]
  • A. Chemnitz chosen
    Chemnitz is a city in eastern Germany known for its industrial heritage and post-reunification urban redevelopment.
  • B. Zwickau
    Zwickau is a city in the German state of Saxony known historically as an important center of the automotive industry and as the birthplace of composer Robert Schumann.
  • C. Dresden
    Dresden is a historic cultural and economic center in eastern Germany, renowned for its baroque architecture, art collections, and reconstruction after World War II.
  • D. Leipzig
    Leipzig is a major city in eastern Germany known for its rich cultural heritage, vibrant music and arts scene, and important role in trade and commerce.
  • E. Görlitz
    Görlitz is a historic city in eastern Germany on the Lusatian Neisse River, known for its well-preserved old town and role as a popular film location.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCityOnRiver
Context triple: [Chemnitz River, hasCityOnRiver, Chemnitz]
  • A. hasMajorCityOnRiver
    Indicates that a major city is located on and directly associated with a particular river.
  • B. hasMajorTownOnRiver
    Indicates that a major town is located on and directly associated with a particular river.
  • C. hasRiver
    Indicates that a location or area contains, is traversed by, or is directly associated with a river.
  • D. locatedAcrossRiverFrom
    Indicates that one entity is situated on the opposite side of a river relative to another entity.
  • E. closelyAssociatedRiver
    Indicates a river that is geographically or functionally closely connected to the subject, such as flowing nearby, through, or otherwise strongly linked to it.
  • F. None of above. chosen

Provenance (5 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e41753881909f0faed720cc31bc completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada94e727881909bee9e71a404c95a completed March 8, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69a49d0069d0819087c83b608f6fc053 completed March 1, 2026, 8:09 p.m.
PDg Predicate description generation batch_69a49e2107548190af0c1d67cfa475d1 completed March 1, 2026, 8:14 p.m.
Created at: March 1, 2026, 7:35 p.m.