Triple

T19491019
Position Surface form Disambiguated ID Type / Status
Subject Czernowitz E487649 entity
Predicate hasPolishName P15778 FINISHED
Object Czerniowce 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: Czerniowce | Statement: [Czernowitz, hasPolishName, Czerniowce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czerniowce
Context triple: [Czernowitz, hasPolishName, Czerniowce]
  • A. Cernăuți chosen
    Cernăuți, known today as Chernivtsi, is a historic multicultural city in western Ukraine that was once part of the Austro-Hungarian Empire and is noted for its rich cultural and intellectual heritage.
  • B. Lwów
    Lwów is a historic city in Eastern Europe, now known as Lviv in western Ukraine, long recognized as a major cultural and political center of the region.
  • C. Przemyśl
    Przemyśl is a historic city in southeastern Poland near the Ukrainian border, known for its strategic location, multicultural heritage, and well-preserved fortifications.
  • D. Rzeszów
    Rzeszów is a major city in southeastern Poland known as an important economic, academic, and cultural center of the region.
  • E. Hrubieszów
    Hrubieszów is a historic town in eastern Poland near the Ukrainian border, known for its multicultural heritage and location in the Lublin region.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348e01b88190a513d0e256161fcd completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:39 p.m.