Triple

T22122816
Position Surface form Disambiguated ID Type / Status
Subject Anne of Ingleside E546714 entity
Predicate setting P1957 FINISHED
Object Glen St. Mary 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: Glen St. Mary | Statement: [Anne of Ingleside, setting, Glen St. Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glen St. Mary
Context triple: [Anne of Ingleside, setting, Glen St. Mary]
  • A. Glen St. Mary chosen
    Glen St. Mary is a small town in northeastern Florida known for its rural character and location within Baker County near the Georgia border.
  • B. Fourth Creek
    Fourth Creek is a minor watercourse in South Australia that serves as one of the tributaries feeding into the River Torrens.
  • C. Highland Hills
    Highland Hills is a small suburban village in Cuyahoga County, Ohio, known for its residential character and proximity to Cleveland’s east side communities.
  • D. Glen Hazel
    Glen Hazel is a small residential neighborhood in Pittsburgh, Pennsylvania, known for its hillside setting overlooking the Monongahela River and its mix of public and private housing.
  • E. Oak Glen
    Oak Glen is a residential neighborhood located within Howell Township in Monmouth County, New Jersey.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1297f3fb48190b6aaca18b40c37ab completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:31 p.m.