Triple

T21356409
Position Surface form Disambiguated ID Type / Status
Subject Dartmouth, Nova Scotia E526637 entity
Predicate hasPark P105 FINISHED
Object Shubie Park 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: Shubie Park | Statement: [Dartmouth, Nova Scotia, hasPark, Shubie Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shubie Park
Context triple: [Dartmouth, Nova Scotia, hasPark, Shubie Park]
  • A. Shubie Park chosen
    Shubie Park is a popular urban green space and trail-filled recreational area located along the Shubenacadie Canal in Dartmouth, Nova Scotia.
  • B. Min-Gi Park
    Min-Gi Park is a central protagonist in Book Four of the animated anthology series "Infinity Train," known for his struggles with self-doubt, friendship, and personal growth aboard the mysterious train.
  • C. Hyein Park
    Hyein Park is a Korean-Canadian voice actress best known for voicing the character Abby in Pixar’s animated film "Turning Red."
  • D. Nakyung Park
    Nakyung Park is a South Korean painter and artist best known publicly as the wife of American actor Wesley Snipes.
  • E. Sunny Kim
    Sunny Kim is an actress known for her role in the horror-comedy film "Spree."
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8afa0fca481908f1fd02154bcba9f completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:07 p.m.