Triple

T10824974
Position Surface form Disambiguated ID Type / Status
Subject Blue Wonder bridge E255473 entity
Predicate connects P390 FINISHED
Object Loschwitz E771395 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: Loschwitz | Statement: [Blue Wonder bridge, connects, Loschwitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loschwitz
Context triple: [Blue Wonder bridge, connects, Loschwitz]
  • A. Loschwitz chosen
    Loschwitz is a historic district of Dresden, Germany, known for its picturesque hillside location along the Elbe River and its association with notable 19th-century cultural figures.
  • B. Geringswalde
    Geringswalde is a small town in the Free State of Saxony in eastern Germany, known for its rural character and location within the Central Saxon region.
  • C. 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.
  • D. Bunzlau
    Bunzlau is the German name for the town of Bolesławiec in southwestern Poland, historically part of Silesia and known for its distinctive pottery.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d0389c819090a892693c4046ed completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e46283f41c8190ac3e1f196c5e4ca0 completed April 19, 2026, 5:05 a.m.
Created at: April 8, 2026, 9:19 p.m.