Triple

T18175755
Position Surface form Disambiguated ID Type / Status
Subject Kinnoull Hill Woodland Park E435152 entity
Predicate hasViewOf P854 FINISHED
Object Sidlaws 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: Sidlaws | Statement: [Kinnoull Hill Woodland Park, hasViewOf, Sidlaws]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidlaws
Context triple: [Kinnoull Hill Woodland Park, hasViewOf, Sidlaws]
  • A. Sidlaws chosen
    The Sidlaws are a range of rolling hills in eastern Scotland, north of the River Tay, known for their scenic landscapes and popular walking routes.
  • B. Zaslawye
    Zaslawye is a historic town in Belarus known for its medieval origins and location near the capital city, Minsk.
  • C. Sądecczyzna
    Sądecczyzna is a historical and ethnographic region in southern Poland, centered around Nowy Sącz and known for its mountainous landscapes, spa towns, and rich folk culture.
  • D. Lawa-an
    Lawa-an is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
  • E. Slawno
    Sławno is a small town in northwestern Poland known for its historic architecture and location near the Baltic coast.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df59bf3881909adc28cacbe9cb39 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.