Triple

T17530881
Position Surface form Disambiguated ID Type / Status
Subject Sosnowiec E426926 entity
Predicate neighboringCity P988 FINISHED
Object Będzin 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: Będzin | Statement: [Sosnowiec, neighboringCity, Będzin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Będzin
Context triple: [Sosnowiec, neighboringCity, Będzin]
  • A. Będzin chosen
    Będzin is a historic town in southern Poland’s Silesian Voivodeship, known for its medieval castle and long-standing role as a regional urban center.
  • B. Bielany
    Bielany is a northern district of Warsaw, Poland, known for its residential neighborhoods, green spaces, and connection to the city center via the Warsaw Metro.
  • C. Brzesko
    Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
  • D. Wojkowice
    Wojkowice is a small town in southern Poland’s Silesian Voivodeship, situated in the industrial and urbanized Upper Silesian region.
  • E. Gotkowice
    Gotkowice is a village in southern Poland that forms part of the rural administrative district of Jerzmanowice-Przeginia in Lesser Poland Voivodeship.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e453688950819098162d853cd2674e completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.