Triple

T11719560
Position Surface form Disambiguated ID Type / Status
Subject Kutenai language E278589 entity
Predicate primaryRegionInCanada P98804 FINISHED
Object southeastern British Columbia LITERAL 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: southeastern British Columbia | Statement: [Kutenai language, primaryRegionInCanada, southeastern British Columbia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryRegionInCanada
Context triple: [Kutenai language, primaryRegionInCanada, southeastern British Columbia]
  • A. regionCanada chosen
    Indicates that an entity is located in, associated with, or pertains to the geographic region of Canada.
  • B. regionCanadianSide
    Indicates that the specified region is located on the Canadian side of a border or boundary.
  • C. includesCanadianTerritoryPartially
    Indicates that one entity geographically encompasses part, but not all, of the territory of Canada.
  • D. largestProvinceByArea
    Indicates that one province has the greatest land area compared to all other provinces within a specified region or country.
  • E. currentProvinceOfTerritory
    Indicates that a given province is the one that currently has administrative authority over a specified territory.
  • F. None of above.

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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c26e4c8190ae30d906b4fd4221 completed April 10, 2026, 7:20 a.m.
PD Predicate disambiguation batch_69d88a7d483081909c2a101087515d74 completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:40 p.m.