Triple

T8390104
Position Surface form Disambiguated ID Type / Status
Subject Quinte Region E197920 entity
Predicate hasPart P35 FINISHED
Object Stirling-Rawdon E663767 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: Stirling-Rawdon | Statement: [Quinte Region, hasPart, Stirling-Rawdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stirling-Rawdon
Context triple: [Quinte Region, hasPart, Stirling-Rawdon]
  • A. Stirling-Rawdon chosen
    Stirling-Rawdon is a rural township in Hastings County, Ontario, Canada, known for its agricultural landscape, small communities, and historic village of Stirling.
  • B. Stirling
    Stirling is a historic Scottish city known for its medieval castle, strategic location, and role in key battles such as Stirling Bridge and Bannockburn.
  • C. Stirling
    Stirling is the given name of the legendary British racing driver Stirling Moss, one of Formula One’s most celebrated figures.
  • D. Stirling
    Stirling is a picturesque town in the Adelaide Hills region of South Australia, known for its leafy streets, cool-climate gardens, and historic charm.
  • E. Hillhead
    Hillhead is a vibrant district in Glasgow’s West End known for its proximity to the University of Glasgow, bustling Byres Road, and a mix of shops, cafes, and cultural venues.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810ac380819095bd67f0555ac2a8 completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6cdb3b48819091c554539e74812a completed April 2, 2026, 1:19 p.m.
Created at: March 30, 2026, 6:03 p.m.