Triple

T8371957
Position Surface form Disambiguated ID Type / Status
Subject Palmiry forest E197480 entity
Predicate locatedIn P40 FINISHED
Object Kampinos Forest E333011 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: Kampinos Forest | Statement: [Palmiry forest, locatedIn, Kampinos Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kampinos Forest
Context triple: [Palmiry forest, 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. 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.
  • C. Narew National Park
    Narew National Park is a protected wetland and river valley area in northeastern Poland, renowned for its braided river system, rich birdlife, and unique marshland ecosystems.
  • D. Polesie nature reserves
    Polesie nature reserves are a network of protected natural areas in the Polesia region, safeguarding extensive wetlands, forests, and biodiversity-rich habitats in Eastern Europe.
  • E. Marka forest
    Marka forest is a large, protected woodland and recreational area surrounding Oslo, Norway, popular for hiking, skiing, and outdoor activities.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a6944081909c4547688c9e70ae completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7d0a6d081909ffe138f80605992 completed April 2, 2026, 3:51 a.m.
Created at: March 30, 2026, 6:01 p.m.