Triple

T12877921
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Erlau (Saxony) E709522 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: Erlau (Saxony) | Statement: [Leipzig metropolitan region, containsCity, Erlau (Saxony)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erlau (Saxony)
Context triple: [Leipzig metropolitan region, containsCity, Erlau (Saxony)]
  • A. Erlau (Saxony) chosen
    Erlau (Saxony) is a small municipality in the Free State of Saxony in eastern Germany.
  • B. Eisenberg (Thüringen)
    Eisenberg (Thüringen) is a small historic town in the German state of Thuringia, known for its traditional architecture and regional cultural heritage.
  • C. Glauchau
    Glauchau is a town in the Free State of Saxony in eastern Germany, known for its historic castles and location in the industrial region of Zwickau.
  • D. Ebersbach (Saxony)
    Ebersbach (Saxony) is a small municipality in the German state of Saxony, situated within the central region known for its rural landscapes and historical towns.
  • E. Löbau
    Löbau is a small town in the Free State of Saxony in eastern Germany, known for its historic architecture and location in the Lusatian Highlands.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb83bac8190838f7537b806317c completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:38 p.m.