Triple

T11643207
Position Surface form Disambiguated ID Type / Status
Subject Sibbald Point Provincial Park E276710 entity
Predicate locatedNear P294 FINISHED
Object Georgina E687102 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: Georgina | Statement: [Sibbald Point Provincial Park, locatedNear, Georgina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgina
Context triple: [Sibbald Point Provincial Park, locatedNear, Georgina]
  • A. Georgina
    Georgina is a feminine given name used in various English-speaking and European countries, often considered a variant of Georgia or the feminine form of George.
  • B. Georgina chosen
    Georgina is a lakeside town in Ontario, Canada, known for its recreational waterfront communities and proximity to Lake Simcoe.
  • C. Geraldine
    Geraldine is a small rural service town in the South Island of New Zealand, known for its scenic surroundings and role as a gateway to the Canterbury high country.
  • D. Geraldine
    Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
  • E. Georgiana
    Georgiana is a feminine given name of Greek origin, often associated with elegance and historically borne by various notable women in British and European society.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cb4ca88190a9322f08416d3974 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69f08fa01ba88190a4fa5a74fe96cfa9 completed April 28, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:39 p.m.