Triple

T10151135
Position Surface form Disambiguated ID Type / Status
Subject Oldman River E232641 entity
Predicate flowsThrough P225 FINISHED
Object Lethbridge E99902 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: Lethbridge | Statement: [Oldman River, flowsThrough, Lethbridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lethbridge
Context triple: [Oldman River, flowsThrough, Lethbridge]
  • A. Lethbridge chosen
    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.
  • B. Medicine Hat
    Medicine Hat is a mid-sized city in southeastern Alberta, Canada, known for its natural gas reserves and nickname "The Gas City."
  • C. Red Deer
    Red Deer is a mid-sized Canadian city in central Alberta known as a regional hub for agriculture, industry, and commerce between Calgary and Edmonton.
  • D. Lloydminster
    Lloydminster is a unique Canadian city that straddles the border between Alberta and Saskatchewan, functioning as a single municipality in two provinces.
  • E. Saskatoon
    Saskatoon is a major Canadian city on the South Saskatchewan River known for its vibrant cultural scene, universities, and role as an economic hub for the surrounding agricultural and resource-rich region.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec0584a48190b65daa8370555c27 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3009992388190ab2a4aee23d0e004 completed April 6, 2026, 12:38 a.m.
Created at: March 30, 2026, 9:08 p.m.