Triple

T17655271
Position Surface form Disambiguated ID Type / Status
Subject Blansko E429605 entity
Predicate hasTwinTown P919 FINISHED
Object Legionowo 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: Legionowo | Statement: [Blansko, hasTwinTown, Legionowo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legionowo
Context triple: [Blansko, hasTwinTown, Legionowo]
  • A. Legionowo chosen
    Legionowo is a commuter city in east-central Poland that functions as a suburban satellite of Warsaw within its metropolitan area.
  • B. Piła
    Piła is a city in northwestern Poland known as a regional economic and transport center in the Greater Poland Voivodeship.
  • C. Otwock
    Otwock is a town in east-central Poland known as a suburban spa and residential area within the broader Warsaw region.
  • D. Strzelno
    Strzelno is a town in north-central Poland best known as the birthplace of Nobel Prize–winning physicist Albert A. Michelson.
  • E. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3fc6e8819080098a3cd0183811 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:06 a.m.