Triple

T11394867
Position Surface form Disambiguated ID Type / Status
Subject Deeside E269945 entity
Predicate hasPart P35 FINISHED
Object Garden City E564733 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: Garden City | Statement: [Deeside, hasPart, Garden City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garden City
Context triple: [Deeside, hasPart, Garden City]
  • A. Garden City
    Garden City is the popular nickname of Port Harcourt, a major oil-producing city in southern Nigeria known for its greenery and urban parks.
  • B. Garden City
    Garden City is the popular nickname for Toowoomba, a major city on the Darling Downs in Queensland, Australia, renowned for its numerous parks and annual flower festival.
  • C. Garden City
    Garden City is the nickname of Missoula, Montana, reflecting its lush, green landscape and abundant trees.
  • D. Garden City chosen
    Garden City is a small, independent city in Ada County, Idaho, situated along the Boise River and surrounded by the city of Boise within the Boise metropolitan area.
  • E. Garden City
    Garden City is the nickname for Beverly, Massachusetts, reflecting its abundance of parks, green spaces, and tree-lined neighborhoods.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80018a58c81908b80dc9abd18d650 completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8250c288190b5bff70f7445b815 completed April 20, 2026, 5:22 a.m.
Created at: April 8, 2026, 9:34 p.m.