Triple

T19897998
Position Surface form Disambiguated ID Type / Status
Subject Richard Hönigswald E478201 entity
Predicate residence P75 FINISHED
Object Breslau E238097 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: Breslau | Statement: [Richard Hönigswald, residence, Breslau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breslau
Context triple: [Richard Hönigswald, residence, 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 (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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593ef8dc8190be5b64988eceafac completed April 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdbe13388190a0cc8dd66e3593aa completed May 16, 2026, 5:16 a.m.
Created at: April 10, 2026, 1:52 p.m.