Triple

T23471675
Position Surface form Disambiguated ID Type / Status
Subject Tatra region E570145 entity
Predicate containsLake P1025 FINISHED
Object Morskie Oko 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: Morskie Oko | Statement: [Tatra region, containsLake, Morskie Oko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morskie Oko
Context triple: [Tatra region, containsLake, Morskie Oko]
  • A. Morskie Oko chosen
    Morskie Oko is a famous glacial lake in the Tatra Mountains of southern Poland, renowned for its scenic alpine setting and popularity as a hiking destination.
  • B. Zeleny Island
    Zeleny Island is a small island in the Kuril Islands chain of Russia, notable for its protected natural areas and wildlife habitats.
  • C. Perekop Bay
    Perekop Bay is a shallow inlet of the Black Sea located along the northern coast of Crimea, near the Isthmus of Perekop.
  • D. Ostrovo
    Ostrovo is a historical locality in the Balkans known as the place where Bulgarian Tsar Gavril Radomir was killed in the early 11th century.
  • E. Malinska
    Malinska is a coastal resort town and popular tourist destination on the island of Krk in Croatia, known for its beaches and Mediterranean atmosphere.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a700bd0481908047aa4678217cbd completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:55 p.m.