Triple

T14612612
Position Surface form Disambiguated ID Type / Status
Subject Schronisko PTTK Morskie Oko E342997 entity
Predicate locatedBy P2409 FINISHED
Object Morskie Oko E68467 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: Morskie Oko | Statement: [Schronisko PTTK Morskie Oko, locatedBy, Morskie Oko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morskie Oko
Context triple: [Schronisko PTTK Morskie Oko, locatedBy, 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. 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.
  • E. Zalewo
    Zalewo is a small town in northern Poland, situated in the Warmian-Masurian Voivodeship known for its lakes and natural landscapes.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb450e6588190a94488d8e71888c8 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64ea085c8190b308504fa11c731d completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:25 a.m.