Triple

T4447438
Position Surface form Disambiguated ID Type / Status
Subject Centre Island E96323 entity
Predicate hasAttraction P105 FINISHED
Object Far Enough Farm E93871 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: Far Enough Farm | Statement: [Centre Island, hasAttraction, Far Enough Farm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Far Enough Farm
Context triple: [Centre Island, hasAttraction, Far Enough Farm]
  • A. Far Enough Farm chosen
    Far Enough Farm is a small, family-friendly petting farm and educational attraction located on the Toronto Islands in Toronto, Canada.
  • B. The Farm
    The Farm is a popular nickname for Stanford University, reflecting its origins on the former Palo Alto Stock Farm owned by the Stanford family.
  • C. The Farm
    The Farm is a seminal painting by Spanish artist Joan Miró that marks his transition from detailed realism to a more symbolic, surreal style, depicting his family’s farmhouse in Catalonia.
  • D. Once Upon A Farm
    Once Upon A Farm is a family-friendly, interactive farm-themed exhibit at the Memphis Zoo where visitors can experience domestic animals and agricultural life up close.
  • E. Omniverse Farm
    Omniverse Farm is NVIDIA’s scalable, server-based system for managing and distributing large-scale rendering and simulation workloads across multiple machines within the Omniverse platform.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d31e10819086590b9f828d50b0 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61386df48819080e44a23b9d67d23 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.