Triple

T3263475
Position Surface form Disambiguated ID Type / Status
Subject Morskie Oko E68467 entity
Predicate outflow P967 FINISHED
Object Rybi Potok
Rybi Potok is a mountain stream in the Tatra Mountains of southern Poland that drains the waters of the popular alpine lake Morskie Oko.
 E344653 NE FINISHED

How this triple was built (4 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: [Morskie Oko, outflow, Rybi Potok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rybi Potok
Context triple: [Morskie Oko, outflow, Rybi Potok]
  • A. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • B. Rybno
    Rybno is a town in northern Poland located in the Warmian-Masurian Voivodeship, known for its lakes and natural surroundings.
  • C. Soła River
    The Soła River is a river in southern Poland that flows through the Lesser Poland and Silesian regions before joining the Vistula.
  • D. Kamienna River
    The Kamienna River is a river in south-central Poland that flows through the Świętokrzyskie region, including the town of Skarżysko-Kamienna.
  • E. Bzura River
    The Bzura River is a waterway in central Poland that gained historical significance as the site of a major World War II battle between Polish and German forces in 1939.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rybi Potok
Triple: [Morskie Oko, outflow, Rybi Potok]
Generated description
Rybi Potok is a mountain stream in the Tatra Mountains of southern Poland that drains the waters of the popular alpine lake Morskie Oko.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rybi Potok
Target entity description: Rybi Potok is a mountain stream in the Tatra Mountains of southern Poland that drains the waters of the popular alpine lake Morskie Oko.
  • A. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • B. Rybno
    Rybno is a town in northern Poland located in the Warmian-Masurian Voivodeship, known for its lakes and natural surroundings.
  • C. Soła River
    The Soła River is a river in southern Poland that flows through the Lesser Poland and Silesian regions before joining the Vistula.
  • D. Kamienna River
    The Kamienna River is a river in south-central Poland that flows through the Świętokrzyskie region, including the town of Skarżysko-Kamienna.
  • E. Bzura River
    The Bzura River is a waterway in central Poland that gained historical significance as the site of a major World War II battle between Polish and German forces in 1939.
  • F. None of above. chosen

Provenance (5 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafaa35e48190b894ca41dd65932b completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e83a7a508190afd5342c79f3da9d completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2ec14cc548190901810096dea9c9a completed March 12, 2026, 4:38 p.m.
NED2 Entity disambiguation (via description) batch_69b2ec807de48190ae96eb090e215a17 completed March 12, 2026, 4:40 p.m.
Created at: March 8, 2026, 3:09 p.m.