Triple

T14781690
Position Surface form Disambiguated ID Type / Status
Subject Pustynia Błędowska E347405 entity
Predicate near P350 FINISHED
Object Dąbrowa Górnicza 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: Dąbrowa Górnicza | Statement: [Pustynia Błędowska, near, Dąbrowa Górnicza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dąbrowa Górnicza
Context triple: [Pustynia Błędowska, near, Dąbrowa Górnicza]
  • A. Dąbrowa Górnicza chosen
    Dąbrowa Górnicza is an industrial city in southern Poland’s Silesian Voivodeship, known for its heavy industry, mining heritage, and proximity to the unique Błędów Desert.
  • B. Gliwice
    Gliwice is a historic industrial and academic city in southern Poland’s Silesian region, known for its engineering university and the landmark Gliwice Radio Tower.
  • C. Chorzów
    Chorzów is an industrial city in southern Poland’s Silesian region, known for its heavy industry heritage and the extensive Silesian Park.
  • D. Gorzów Śląski
    Gorzów Śląski is a small town in southwestern Poland known for its location in the historical region of Upper Silesia.
  • E. Wodzisław Śląski
    Wodzisław Śląski is a town in southern Poland known for its historic urban core and location in the industrial and mining region of Upper Silesia.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9de3f48190b7706925e2947cf5 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 1:31 a.m.