Triple

T4682009
Position Surface form Disambiguated ID Type / Status
Subject Vilnius Region E103823 entity
Predicate historicalDemographicFeature P25591 FINISHED
Object multiethnic urban population in Vilnius 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: multiethnic urban population in Vilnius | Statement: [Vilnius Region, historicalDemographicFeature, multiethnic urban population in Vilnius]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalDemographicFeature
Context triple: [Vilnius Region, historicalDemographicFeature, multiethnic urban population in Vilnius]
  • A. demographicHistory chosen
    Indicates the historical changes and patterns in the composition, size, or structure of a population over time.
  • B. religiousCompositionHistorical
    Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
  • C. 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.
  • D. historicalPopulationMovement
    Indicates the movement or migration of a population from one place to another during a specific historical period or event.
  • E. demographicsCharacteristic
    Indicates that one entity serves as a demographic attribute or characteristic (such as age, gender, ethnicity, etc.) that describes or classifies 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd67c9c3c08190a6c4944cdd1362a8 completed March 20, 2026, 3:29 p.m.
PD Predicate disambiguation batch_69bd6217e0088190836570522e324dc6 completed March 20, 2026, 3:04 p.m.
Created at: March 20, 2026, 1:16 p.m.