Triple

T14612576
Position Surface form Disambiguated ID Type / Status
Subject Sea Eye E342996 entity
Predicate hasOutflow P967 FINISHED
Object Rybi Potok E344653 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: Rybi Potok | Statement: [Sea Eye, hasOutflow, Rybi Potok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rybi Potok
Context triple: [Sea Eye, hasOutflow, Rybi Potok]
  • A. Rybi Potok chosen
    Rybi Potok is a mountain stream in the Tatra Mountains of southern Poland that drains the waters of the popular alpine lake Morskie Oko.
  • B. Rybansk
    Rybansk is a former historical name of the Russian city now known as Rybinsk, located on the Volga River.
  • C. Rybnik
    Rybnik is a significant industrial and cultural city in the Silesian region of southern Poland, known for its coal mining heritage and regional economic importance.
  • D. Pecica
    Pecica is a town in western Romania known for its archaeological sites and proximity to the Mureș River near the Hungarian border.
  • E. Bóbrka
    Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
  • 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_69fda92110e88190af47b713dd24520b completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.