Triple

T3252923
Position Surface form Disambiguated ID Type / Status
Subject Biała Przemsza E68224 entity
Predicate mouth P407 FINISHED
Object Przemsza E341883 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: Przemsza | Statement: [Biała Przemsza, mouth, Przemsza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Przemsza
Context triple: [Biała Przemsza, mouth, Przemsza]
  • A. Przemsza chosen
    Przemsza is a river in southern Poland formed by the confluence of the Black and White Przemsza, known historically as a regional border and an important tributary of the Vistula.
  • B. Mława
    Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
  • C. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • D. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Gietrzwałd
    Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf440bb88190a2450405afae7f1f completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8330720819091548d7f9652003a completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:09 p.m.