Triple

T19525119
Position Surface form Disambiguated ID Type / Status
Subject Białystok Voivodeship (Second Polish Republic) E488498 entity
Predicate containsSettlement P847 FINISHED
Object Kolno E940693 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: Kolno | Statement: [Białystok Voivodeship (Second Polish Republic), containsSettlement, Kolno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolno
Context triple: [Białystok Voivodeship (Second Polish Republic), containsSettlement, Kolno]
  • A. Kolno chosen
    Kolno is a small town in northeastern Poland known for its traditional character and location within the Podlaskie region.
  • B. Kolno
    Kolno is a small town in northeastern Poland known for its rural character and location within the historic Warmia-Masuria area.
  • C. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • D. Kolina
    Kolina is an Argentine political party aligned with the Peronist movement and associated with the broader Frente de Todos coalition.
  • E. Chojnik
    Chojnik is a village in northern Poland located within the administrative district of Gmina Morąg in the Warmian-Masurian Voivodeship.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63639cfc08190894ac67f7d861a25 completed April 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07472e510881908ffb18bd172c4109 completed May 15, 2026, 4:17 p.m.
Created at: April 10, 2026, 1:41 p.m.