Triple

T15853928
Position Surface form Disambiguated ID Type / Status
Subject Słubice County E384406 entity
Predicate hasSettlement P1068 FINISHED
Object Ośno Lubuskie E1182100 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: Ośno Lubuskie | Statement: [Słubice County, hasSettlement, Ośno Lubuskie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ośno Lubuskie
Context triple: [Słubice County, hasSettlement, Ośno Lubuskie]
  • A. Ośno Lubuskie chosen
    Ośno Lubuskie is a small historic town in western Poland’s Lubusz Voivodeship, known for its medieval urban layout and well-preserved defensive walls.
  • B. Łeba River
    The Łeba River is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea, passing through and feeding several coastal lakes including Lake Łebsko.
  • C. Motława
    Motława is a river in northern Poland that flows through the historic city of Gdańsk and into the Vistula Lagoon.
  • D. Elbląg River
    The Elbląg River is a river in northern Poland that flows through the city of Elbląg and connects inland waterways with the Vistula Lagoon and the Baltic Sea.
  • E. Słupia River
    The Słupia River is a river in northern Poland known for its scenic course through forests and lakes, hydropower facilities, and protected natural areas.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cae96648190884a85f68b6e9fe1 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb03c8cb081908c18c7b2d143c4b4 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:50 a.m.