Triple

T17651252
Position Surface form Disambiguated ID Type / Status
Subject Queen Elizabeth II Highway E429494 entity
Predicate connectsCommunity P12608 FINISHED
Object Leduc 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: Leduc | Statement: [Queen Elizabeth II Highway, connectsCommunity, Leduc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leduc
Context triple: [Queen Elizabeth II Highway, connectsCommunity, Leduc]
  • A. Leduc chosen
    Leduc is a city in central Alberta, Canada, located just south of Edmonton and known for its role as a regional service and transportation hub.
  • B. Lethbridge
    Lethbridge is a mid-sized city in southern Alberta, Canada, known for its coulee landscapes, windy climate, and role as a regional commercial and educational hub.
  • C. Weese
    Weese is a surname most notably associated with American architect and preservationist Harry Weese.
  • D. Bonnieville
    Bonnieville is a small rural city located in Hart County, Kentucky, known for its quiet community and proximity to major transportation routes.
  • E. Medicine Hat
    Medicine Hat is a mid-sized city in southeastern Alberta, Canada, known for its natural gas reserves and nickname "The Gas City."
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3d4948819084de72bed922be6e completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:05 a.m.