Triple

T16162767
Position Surface form Disambiguated ID Type / Status
Subject Law Hill E392217 entity
Predicate hasViewOf P854 FINISHED
Object Sidlaws E435154 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: Sidlaws | Statement: [Law Hill, hasViewOf, Sidlaws]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidlaws
Context triple: [Law Hill, 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. Sylwka
    Sylwka is a Polish diminutive form of the female given name Sylwia, used as an affectionate or informal nickname.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5ffba88190b9dc7bb9afb6fdf2 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b69adc8190ba90d68acaaca509 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:02 a.m.