Triple

T10911911
Position Surface form Disambiguated ID Type / Status
Subject Trutnov E257720 entity
Predicate hasTwinTown P919 FINISHED
Object Senftenberg E254972 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: Senftenberg | Statement: [Trutnov, hasTwinTown, Senftenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senftenberg
Context triple: [Trutnov, hasTwinTown, Senftenberg]
  • A. Senftenberg chosen
    Senftenberg is a town in eastern Germany known for its lakeside recreation area and former lignite mining sites, located in the federal state of Brandenburg.
  • B. Olbernhau
    Olbernhau is a town in Germany’s Ore Mountains renowned for its traditional woodcraft industry, especially the production of Schwibbogen candle arches and other Christmas decorations.
  • C. Premnitz
    Premnitz is a small town in the Havelland region of Brandenburg, Germany, situated on the Havel River and known historically for its chemical industry.
  • D. Riesa
    Riesa is a town in the German state of Saxony, situated on the Elbe River and known historically as an important regional railway and industrial center.
  • E. Brünnlitz
    Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770723df08190bedfdc94d998f969 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e55621a88c8190b9611bf9e3b307de completed April 19, 2026, 10:24 p.m.
Created at: April 8, 2026, 9:22 p.m.