Triple

T9189467
Position Surface form Disambiguated ID Type / Status
Subject Ruciane-Nida E220543 entity
Predicate locatedNear P294 FINISHED
Object Pisz Forest E784459 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: Pisz Forest | Statement: [Ruciane-Nida, locatedNear, Pisz Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pisz Forest
Context triple: [Ruciane-Nida, locatedNear, Pisz Forest]
  • A. Pisz Forest chosen
    Pisz Forest is a vast woodland region in northeastern Poland, known for its lakes, diverse wildlife, and popular outdoor recreation opportunities.
  • 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. Granitz Forest
    Granitz Forest is a scenic woodland area on Germany’s Rügen Island, known for its beech forests, hiking trails, and the historic Granitz Hunting Lodge.
  • D. Puszcza Romincka (Romincka Forest)
    Puszcza Romincka (Romincka Forest) is a large, ecologically valuable forest complex in northeastern Poland known for its pristine natural landscapes, rich biodiversity, and protected status.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bd8c5c81909d0cdbcd7410fcee completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065d5e81c8190b6687999a87fd559 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:24 p.m.