Triple

T11522045
Position Surface form Disambiguated ID Type / Status
Subject Novonikolaevsk E273187 entity
Predicate hadPopulationGrowthCharacteristic P29003 FINISHED
Object rapid urban growth in early 20th 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: rapid urban growth in early 20th century | Statement: [Novonikolaevsk, hadPopulationGrowthCharacteristic, rapid urban growth in early 20th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadPopulationGrowthCharacteristic
Context triple: [Novonikolaevsk, hadPopulationGrowthCharacteristic, rapid urban growth in early 20th century]
  • A. hasUrbanGrowthCharacteristic chosen
    Indicates that an entity exhibits a particular quality, pattern, or feature related to urban growth or expansion.
  • B. historicalPopulationCharacteristic
    Indicates a relationship where an entity is associated with a demographic or population-related attribute that held true during a specific historical period.
  • C. populationIncrease
    Indicates that the number of individuals in a population has grown over a specified period of time.
  • D. demographicsCharacteristic
    Indicates that one entity serves as a demographic attribute or characteristic (such as age, gender, ethnicity, etc.) that describes or classifies another entity.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd129c88190893b95222480e04a completed April 10, 2026, 4:42 a.m.
PD Predicate disambiguation batch_69d80876e5f0819088cff2e72f773cf6 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:37 p.m.