Triple

T35289334
Position Surface form Disambiguated ID Type / Status
Subject Saskatchewan census division 14 E1019176 entity
Predicate languageOfStatistics P202765 FINISHED
Object English 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: English | Statement: [Saskatchewan census division 14, languageOfStatistics, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfStatistics
Context triple: [Saskatchewan census division 14, languageOfStatistics, English]
  • A. statisticsConsidered
    Indicates that certain statistics are taken into account or used as a basis in a decision, analysis, or evaluation involving the related entities.
  • B. stat
    Indicates that an entity has a particular status, condition, or state at a given time.
  • C. statisticalTreatment
    Indicates that one entity is used as a statistical method, procedure, or operation applied to another entity (such as data, variables, or results) for analysis or interpretation.
  • D. statisticNote
    Indicates that there is an explanatory note or comment providing additional context or clarification about a reported statistic.
  • E. statisticalType
    Indicates that one entity specifies the kind or category of statistical characterization or measurement that applies to another entity.
  • F. None of above. chosen

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_69f76de6d39c8190bb11342e4b91ff2b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a00b6199c348190b1e90375f737d026 completed May 10, 2026, 4:45 p.m.
PD Predicate disambiguation batch_6a00b5169a7881909a07167c4188731f completed May 10, 2026, 4:40 p.m.
PDg Predicate description generation batch_6a00b618cb10819095ccef12d8e303c5 completed May 10, 2026, 4:45 p.m.
Created at: May 3, 2026, 4:03 p.m.