Triple

T20599963
Position Surface form Disambiguated ID Type / Status
Subject Frenchtown, Michigan E506147 entity
Predicate populationHistorical P67966 FINISHED
Object predominantly French-speaking in early 19th century 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: predominantly French-speaking in early 19th century | Statement: [Frenchtown, Michigan, populationHistorical, predominantly French-speaking in early 19th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationHistorical
Context triple: [Frenchtown, Michigan, populationHistorical, predominantly French-speaking in early 19th century]
  • A. historicalPopulationCharacteristic chosen
    Indicates a relationship where an entity is associated with a demographic or population-related attribute that held true during a specific historical period.
  • B. historicalPopulationContext
    Indicates the relationship between a population figure and the specific historical period or circumstances in which that population size occurred.
  • C. historicalPopulationMovement
    Indicates the movement or migration of a population from one place to another during a specific historical period or event.
  • D. religiousCompositionHistorical
    Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
  • E. regionHistory
    Indicates that there exists a historical or past association between a subject and a specific geographic or administrative region.
  • 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1ef9ac8190b05e23c149529cb9 completed April 20, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69e59fffe1748190825e4eaa90340631 completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:41 a.m.