Triple

T20471416
Position Surface form Disambiguated ID Type / Status
Subject Palmiry E502200 entity
Predicate locatedIn P40 FINISHED
Object Kampinos Forest NE NERFINISHED

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: Kampinos Forest | Statement: [Palmiry, locatedIn, Kampinos Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kampinos Forest
Context triple: [Palmiry, locatedIn, Kampinos Forest]
  • A. Kampinos National Park chosen
    Kampinos National Park is a large forested national park in central Poland, known for its sand dunes, wetlands, and rich biodiversity near Warsaw.
  • B. Noteć Forest
    Noteć Forest is a large forested region in western Poland, known for its extensive pine woodlands and location along the Noteć River.
  • C. Pisz Forest
    Pisz Forest is a vast woodland region in northeastern Poland, known for its lakes, diverse wildlife, and popular outdoor recreation opportunities.
  • D. Jaktorów Forest
    Jaktorów Forest is a historic woodland area in Poland known as the site where the last recorded aurochs (Bos primigenius) died in the 17th century.
  • E. Tuchola Forest
    Tuchola Forest is one of Poland’s largest and most pristine forest complexes, known for its extensive pine woods, lakes, and protected natural landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6996197908190b6570e2a7fd6cf67 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.