Triple

T18235544
Position Surface form Disambiguated ID Type / Status
Subject Georgetown, Ontario E436663 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Stewarttown 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: Stewarttown | Statement: [Georgetown, Ontario, hasNeighbourhood, Stewarttown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stewarttown
Context triple: [Georgetown, Ontario, hasNeighbourhood, Stewarttown]
  • A. Stewarttown chosen
    Stewarttown is a small community located within the town of Halton Hills in Ontario, Canada.
  • B. Stewartstown
    Stewartstown is a small village in County Tyrone, Northern Ireland, known for its rural character and historic market-town origins.
  • C. Scotchtown
    Scotchtown is a small community located on Cape Breton Island in Nova Scotia, Canada.
  • D. Scotchtown
    Scotchtown is a historic 18th-century plantation in Hanover County, Virginia, best known as the longtime home of American patriot Patrick Henry.
  • E. Tylorstown
    Tylorstown is a former coal mining village in the Rhondda Fach valley in Rhondda Cynon Taf, Wales.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b69a688190b140961eb298c36e completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.