Triple

T24167817
Position Surface form Disambiguated ID Type / Status
Subject Polish landscape parks network E599038 entity
Predicate protectionLevelComparedToNationalParks P155568 FINISHED
Object lower LITERAL 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: lower | Statement: [Polish landscape parks network, protectionLevelComparedToNationalParks, lower]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: protectionLevelComparedToNationalParks
Context triple: [Polish landscape parks network, protectionLevelComparedToNationalParks, lower]
  • A. emphasisComparedToNationalParks
    Indicates how the level of emphasis or focus on something compares to the emphasis placed on national parks.
  • B. locatedInNationalParkOrQuasiNationalPark
    Indicates that something is situated within the boundaries of a national park or a quasi-national park.
  • C. locatedInNationalOrProvincialPark
    Indicates that one entity is situated within the boundaries of a national or provincial park.
  • D. withinNationalPark
    Indicates that one entity is located inside the geographic boundaries of a national park designated by another entity.
  • E. federalProtectedArea
    Indicates that an area is designated and managed as a protected area under federal jurisdiction or authority.
  • F. None of above. chosen

Provenance (4 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_69e288cbd62881909de32ca64a70c17b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27c9ddfcc819096697a844b300cce completed April 29, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f1c42f942c8190b103ff29a60fef34 completed April 29, 2026, 8:41 a.m.
PDg Predicate description generation batch_69f27a753ca8819095706970d368f762 completed April 29, 2026, 9:39 p.m.
Created at: April 17, 2026, 11:33 p.m.