Triple

T20429449
Position Surface form Disambiguated ID Type / Status
Subject Nowogródek E501089 entity
Predicate alternativeName P39 FINISHED
Object Новогрудок 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: Новогрудок | Statement: [Nowogródek, alternativeName, Новогрудок]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Новогрудок
Context triple: [Nowogródek, alternativeName, Новогрудок]
  • A. Novogrudok chosen
    Novogrudok is a historic town in western Belarus known as one of the early political centers of the Grand Duchy of Lithuania.
  • B. Horodnia
    Horodnia is a small town in northern Ukraine known for its historical roots and location within the Chernihiv region.
  • C. Vishnevo
    Vishnevo is a village historically located in the former Second Polish Republic, known today as Wiszniew and situated in present-day Belarus.
  • D. Kobryn
    Kobryn is a historic town in southwestern Belarus known for its location at the confluence of the Mukhavets and Dnieper–Bug Canal and its role as a regional cultural and economic center.
  • E. Velykyi Zhytyn
    Velykyi Zhytyn is a village in western Ukraine notable as the birthplace of the country’s first president, Leonid Kravchuk.
  • 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67bac39288190b294b291301ac843 completed April 20, 2026, 7:17 p.m.
Created at: April 16, 2026, 11:31 a.m.