Triple

T6704180
Position Surface form Disambiguated ID Type / Status
Subject Oświęcim County E152956 entity
Predicate hasMajorTown P316 FINISHED
Object Chełmek E623448 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: Chełmek | Statement: [Oświęcim County, hasMajorTown, Chełmek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chełmek
Context triple: [Oświęcim County, hasMajorTown, Chełmek]
  • A. Chełmek chosen
    Chełmek is a small town in southern Poland known historically for its shoe industry and its location near Oświęcim (Auschwitz).
  • B. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • C. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • D. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • E. Kromołów
    Kromołów is a historic district of the city of Zawiercie in southern Poland, known as the place where the Warta River begins.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e919748190953d893eb61724e7 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7423de3808190866d0ebc3bfc7530 completed March 28, 2026, 2:51 a.m.
Created at: March 27, 2026, 2:06 p.m.