Triple

T5873983
Position Surface form Disambiguated ID Type / Status
Subject Ubii E130582 entity
Predicate demographicOutcome P3838 FINISHED
Object gradual assimilation into Roman provincial 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: gradual assimilation into Roman provincial population | Statement: [Ubii, demographicOutcome, gradual assimilation into Roman provincial population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: demographicOutcome
Context triple: [Ubii, demographicOutcome, gradual assimilation into Roman provincial population]
  • A. demographicImpact chosen
    Indicates how an action, event, or condition affects the size, structure, or composition of a population.
  • B. demographics
    Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
  • C. demographicBasis
    Indicates that something is determined, classified, or justified based on demographic characteristics such as age, gender, ethnicity, or similar population attributes.
  • D. demographicsDescriptor
    Indicates a descriptive attribute or classification that characterizes the demographic properties of an entity or group.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0432fea5881909f5c291dd8db6105 completed March 22, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69c033499ca08190bd26cee5b03f6306 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 3:57 p.m.