Triple

T8465847
Position Surface form Disambiguated ID Type / Status
Subject Town of Georgina E200158 entity
Predicate hasCommunity P2605 FINISHED
Object Island Grove E274844 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: Island Grove | Statement: [Town of Georgina, hasCommunity, Island Grove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Island Grove
Context triple: [Town of Georgina, hasCommunity, Island Grove]
  • A. Island Grove chosen
    Island Grove is a small lakeside community within the town of Georgina in Ontario, Canada.
  • B. Island Grove Park
    Island Grove Park is a public recreational area in Abington, Massachusetts, known for its scenic pond, wooded trails, and community gathering spaces.
  • C. Elmwood Springs
    Elmwood Springs is a small, close-knit fictional American town created by Fannie Flagg and used as the setting for several of her interconnected novels.
  • D. Blooming Grove
    Blooming Grove is a town in Dane County, Wisconsin, known for its suburban residential character near the city of Madison.
  • E. Birchgrove
    Birchgrove is a harbourside inner-west suburb of Sydney, Australia, known for its waterfront views, historic homes, and proximity to the city centre.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d17ec8819093becdaec750aff5 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39e0d7788190add03271c940e1ff completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:11 p.m.