Triple

T21358282
Position Surface form Disambiguated ID Type / Status
Subject Ludwig Geiger E526696 entity
Predicate placeOfBirth P1 FINISHED
Object Breslau NE NERFINISHED

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: Breslau | Statement: [Ludwig Geiger, placeOfBirth, Breslau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breslau
Context triple: [Ludwig Geiger, placeOfBirth, Breslau]
  • A. Breslau chosen
    Breslau is the historical German name for the city now known as Wrocław in southwestern Poland, a major cultural and academic center in Central Europe.
  • B. Stettin
    Stettin, now known as Szczecin, is a major port city on the Oder River in northwestern Poland near the Baltic Sea.
  • C. Glogau
    Glogau is the German name for the town of Głogów, a historic city in southwestern Poland on the Oder River.
  • D. Oppeln
    Oppeln is the historical German name for the city of Opole, a major cultural and administrative center in southwestern Poland’s Silesia region.
  • E. Lemberg
    Lemberg is a prominent mountain in the Swabian Jura of Baden-Württemberg, Germany, known as the highest peak in that range.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8afa3924c8190b3decbfda4a2aecf completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:07 p.m.