Triple

T5816588
Position Surface form Disambiguated ID Type / Status
Subject Kraśnik Ghetto E129001 entity
Predicate locatedIn P40 FINISHED
Object Kraśnik E458126 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: Kraśnik | Statement: [Kraśnik Ghetto, locatedIn, Kraśnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kraśnik
Context triple: [Kraśnik Ghetto, locatedIn, Kraśnik]
  • A. Kraśnik chosen
    Kraśnik is a town in eastern Poland known for its historical architecture and location within the Lublin region.
  • B. Krotoszyn
    Krotoszyn is a historic town in west-central Poland known for its medieval origins and changing political affiliations, including periods under Prussian and German rule.
  • C. Kruszwica
    Kruszwica is a historic town in central Poland, known for its medieval Mouse Tower, lakeside setting on Lake Gopło, and role as an early center of Polish statehood.
  • D. Czorsztyn
    Czorsztyn is a small village in southern Poland known for its picturesque lakeside setting on the Dunajec River and the ruins of a medieval castle overlooking the Pieniny Mountains.
  • E. Nowogródek
    Nowogródek is a historic town in present-day western Belarus, formerly part of the Polish eastern borderlands (Kresy), known for its multicultural heritage and association with the poet Adam Mickiewicz.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c033e207608190926a0b10fe157a13 completed March 22, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603c7dac48190b742e9e5430b8bde completed March 27, 2026, 4:12 a.m.
Created at: March 22, 2026, 3:53 p.m.