Triple

T16445639
Position Surface form Disambiguated ID Type / Status
Subject Abraham Robinson E399416 entity
Predicate birthPlace P1 FINISHED
Object Waldenburg, Silesia E310204 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: Waldenburg, Silesia | Statement: [Abraham Robinson, birthPlace, Waldenburg, Silesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waldenburg, Silesia
Context triple: [Abraham Robinson, birthPlace, Waldenburg, Silesia]
  • A. Wałbrzych chosen
    Wałbrzych is a city in southwestern Poland known for its industrial heritage, historic coal mining, and proximity to the Sudetes mountains.
  • B. Kluczbork
    Kluczbork is a town in southern Poland known as a local administrative, cultural, and economic center in the Opole region.
  • C. 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.
  • D. Cieszyn Silesia
    Cieszyn Silesia is a historical and ethnically diverse borderland region centered around the city of Cieszyn, spanning areas of present-day Poland and the Czech Republic.
  • E. Jedwabno
    Jedwabno is a small town in northern Poland located within the Warmian-Masurian Voivodeship, an area known for its lakes and forests.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdb5d908190bb6c5cb3c794cf4b completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045922d748190bb3200c96f244149 completed May 10, 2026, 8:45 a.m.
Created at: April 10, 2026, 5:10 a.m.