Triple

T10404994
Position Surface form Disambiguated ID Type / Status
Subject Bell MTS E245238 entity
Predicate hasRetailStoresIn P26597 FINISHED
Object Manitoba E15186 NE FINISHED

How this triple was built (3 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: Manitoba | Statement: [Bell MTS, hasRetailStoresIn, Manitoba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manitoba
Context triple: [Bell MTS, hasRetailStoresIn, Manitoba]
  • A. Manitoba chosen
    Manitoba is a central Canadian province known for its vast prairies, numerous lakes, and northern boreal forests.
  • B. Saskatchewan
    Saskatchewan is a prairie and boreal province in western Canada known for its vast flat landscapes, agriculture, and significant natural resources.
  • C. Alberta
    Alberta is a western Canadian province known for its vast prairies, Rocky Mountains, and significant natural resource industries.
  • D. Emerson, Manitoba
    Emerson, Manitoba is a small Canadian border town in southern Manitoba situated along the Red River near the U.S. state of North Dakota.
  • E. Hnausa, Manitoba
    Hnausa, Manitoba is a small rural community on the western shore of Lake Winnipeg, known for its strong Icelandic heritage as part of the historic New Iceland settlement region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRetailStoresIn
Context triple: [Bell MTS, hasRetailStoresIn, Manitoba]
  • A. hasRetailStores
    Indicates that an entity operates or possesses one or more physical retail store locations.
  • B. hasRetailPresenceIn chosen
    Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
  • C. hasRetailBoutiquesIn
    Indicates that an entity operates or maintains retail boutiques located within a specified place or region.
  • D. hasRetailNetwork
    Indicates that an entity operates or is associated with a system of retail outlets or distribution channels through which products or services are sold.
  • E. hasOutletStores
    Indicates that an entity operates or is associated with one or more outlet retail stores.
  • F. None of above.

Provenance (4 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e5fb58819081d7d3e1dc625197 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f7bfce881908239cbb0915a5b81 completed April 10, 2026, 6:58 a.m.
PD Predicate disambiguation batch_69d4dfb438c481908dff87c47de2f069 completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:08 p.m.