Triple

T11497342
Position Surface form Disambiguated ID Type / Status
Subject Renfrew County E272570 entity
Predicate hasBorder P224 FINISHED
Object Hastings County 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: Hastings County | Statement: [Renfrew County, hasBorder, Hastings County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hastings County
Context triple: [Renfrew County, hasBorder, Hastings County]
  • A. Hastings County chosen
    Hastings County is a large, predominantly rural county in eastern Ontario, Canada, known for its forests, lakes, and outdoor recreation opportunities.
  • B. Burnet County
    Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
  • C. Smith County
    Smith County is a rural county in central Mississippi known for its small communities, agriculture, and pine forests.
  • D. Smith County
    Smith County is a county in eastern Texas that includes the city of Tyler and serves as a regional hub for healthcare, education, and commerce.
  • E. Parker County
    Parker County is a county in north-central Texas that includes communities such as Hudson Oaks and is part of the Dallas–Fort Worth metropolitan area.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de27db081909ccdb4ab0ef75bdb completed April 10, 2026, 2:18 a.m.
Created at: April 8, 2026, 9:36 p.m.