Triple

T4715270
Position Surface form Disambiguated ID Type / Status
Subject Leon Feldhendler E104620 entity
Predicate residence P75 FINISHED
Object Zolkiewka E474586 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: Zolkiewka | Statement: [Leon Feldhendler, residence, Zolkiewka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zolkiewka
Context triple: [Leon Feldhendler, residence, Zolkiewka]
  • A. Zolkiewka chosen
    Zolkiewka is a village in eastern Poland, historically home to a significant Jewish community before World War II.
  • B. Krasnystaw
    Krasnystaw is a town in eastern Poland known for its agricultural surroundings and annual Chmielaki beer and hops festival.
  • C. Puławy
    Puławy is a historic town in eastern Poland known for its classical palace-and-park complex and role as an important cultural and scientific center.
  • D. Kraśnik
    Kraśnik is a town in eastern Poland known for its historical architecture and location within the Lublin region.
  • E. Milejewo
    Milejewo is a small village in northern Poland, located in the Warmian-Masurian Voivodeship and known for its rural character and surrounding natural landscapes.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6408dc5c8190a8d6b1c1a3eba2df completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67bb17e0819099a6d4f3ca54f616 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:18 p.m.