Triple

T6813829
Position Surface form Disambiguated ID Type / Status
Subject M’Chigeeng First Nation E156701 entity
Predicate hasDemographicType P5947 FINISHED
Object on-reserve population 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: on-reserve population | Statement: [M’Chigeeng First Nation, hasDemographicType, on-reserve population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDemographicType
Context triple: [M’Chigeeng First Nation, hasDemographicType, on-reserve population]
  • A. hasDemographic
    Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
  • B. hasDemographicPattern
    Indicates that there is a characteristic distribution or trend of attributes (such as age, gender, income, or ethnicity) within a population or group.
  • C. hasPopulationType chosen
    Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
  • D. involvesDemographic
    Indicates that an action, event, or entity is related to, affects, or includes a specific demographic group or population segment.
  • E. demographicCharacteristic
    Indicates that one entity specifies or describes a demographic attribute or feature (such as age, gender, ethnicity, or similar population-related trait) of another entity.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32b012481909b73784899ec2a0d completed March 27, 2026, 6:57 p.m.
PD Predicate disambiguation batch_69c6d09bb4f881909bf20c188cb3e8e1 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:17 p.m.