Triple

T16536108
Position Surface form Disambiguated ID Type / Status
Subject Ursynów E401694 entity
Predicate contains P35 FINISHED
Object Kabaty E927011 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: Kabaty | Statement: [Ursynów, contains, Kabaty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabaty
Context triple: [Ursynów, contains, Kabaty]
  • A. Kabaty chosen
    Kabaty is a residential neighborhood in the southern part of Warsaw, Poland, known for its proximity to the Kabaty Forest and as the terminus area of the city’s first metro line.
  • B. Dubiecko
    Dubiecko is a small historic town in southeastern Poland, known as the birthplace of Enlightenment-era poet and bishop Ignacy Krasicki.
  • C. Kobrín
    Kobrín is a historic town in western Belarus known for its strategic location at the confluence of the Mukhavets and Dnieper–Bug Canal and its role in regional trade and military history.
  • D. Rabsztyn
    Rabsztyn is a village in southern Poland known for the ruins of its medieval castle, which is part of the historic Trail of the Eagles' Nests.
  • E. Karwia
    Karwia is a seaside village on the Baltic coast of northern Poland, known for its wide sandy beaches and role as a popular summer resort.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34558ec448190a6dcc15d62d1889c completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006094dee481908757b84c10d0dc19 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:15 a.m.