Triple

T3263477
Position Surface form Disambiguated ID Type / Status
Subject Morskie Oko E68467 entity
Predicate locatedInValley P40 FINISHED
Object Rybi Potok Valley 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 Valley | Statement: [Morskie Oko, locatedInValley, Rybi Potok Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rybi Potok Valley
Context triple: [Morskie Oko, locatedInValley, Rybi Potok Valley]
  • 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. Mała Łąka Valley
    Mała Łąka Valley is a picturesque valley in the Polish Tatra Mountains, known for its scenic hiking routes and alpine landscapes.
  • C. Goryczkowa Valley
    Goryczkowa Valley is a scenic mountain valley in the Tatra Mountains of southern Poland, known for its alpine landscapes and popular hiking and skiing routes.
  • D. Gąsienicowa Valley
    Gąsienicowa Valley is a popular alpine valley in Poland’s Tatra Mountains, known for its scenic hiking trails, mountain lakes, and views of surrounding peaks.
  • E. Skawinka River
    The Skawinka River is a small river in southern Poland that flows through the town of Skawina before joining the Vistula River.
  • 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_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_69b2f3c4323c819087a7c6e6c8a7b030 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:09 p.m.