Triple

T20838700
Position Surface form Disambiguated ID Type / Status
Subject Świna River E513030 entity
Predicate separates P1175 FINISHED
Object Wolin Island 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: Wolin Island | Statement: [Świna River, separates, Wolin Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolin Island
Context triple: [Świna River, separates, Wolin Island]
  • A. Wolin Island chosen
    Wolin Island is a large Polish Baltic Sea island known for its national park, dramatic cliffs, and seaside resorts such as Międzyzdroje.
  • B. Dębina Island
    Dębina Island is a small island located within Dąbie Lake in northwestern Poland, known for its natural scenery and recreational appeal.
  • C. Mieleńska Island
    Mieleńska Island is an island located within Dąbie Lake in northwestern Poland, known as part of the Szczecin area’s inland water landscape.
  • D. Wyspa Piasek
    Wyspa Piasek is a river island on the Oder in Wrocław, Poland, known for its historic churches and picturesque riverside setting.
  • E. Stolp Island
    Stolp Island is a small island in the Fox River at the center of Aurora, Illinois, known as the city’s historic downtown core and civic hub.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32928788190be8ca57923eefd7e completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:42 p.m.