Triple

T15750113
Position Surface form Disambiguated ID Type / Status
Subject Brünnlitz munitions factory E381821 entity
Predicate GermanName P6492 FINISHED
Object Brünnlitz E383744 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: Brünnlitz | Statement: [Brünnlitz munitions factory, GermanName, Brünnlitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brünnlitz
Context triple: [Brünnlitz munitions factory, GermanName, Brünnlitz]
  • A. Brünnlitz chosen
    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.
  • B. Gößnitz
    Gößnitz is a small town in the German state of Thuringia that lies within the broader Leipzig metropolitan area.
  • 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. 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.
  • E. Kühnitzsch
    Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502fd3608190b42e647b9c2b41a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa129a6448190affdee9d0b1362bc completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:47 a.m.