Triple

T4495682
Position Surface form Disambiguated ID Type / Status
Subject Spišská Nová Ves E100688 entity
Predicate timePointOfPopulation P5555 FINISHED
Object around 2021 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: around 2021 | Statement: [Spišská Nová Ves, timePointOfPopulation, around 2021]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timePointOfPopulation
Context triple: [Spišská Nová Ves, timePointOfPopulation, around 2021]
  • A. hasPopulationAsOf chosen
    Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
  • B. populationAtPeak
    Indicates that an entity’s population size is measured at its highest recorded level during a specified time or condition.
  • C. permanentPopulation
    Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
  • D. populationScale
    Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
  • E. seasonalPopulation
    Indicates a relationship where the number of individuals in a population varies depending on the season or time of year.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56bde14c819091d42839a46291d0 completed March 20, 2026, 2:16 p.m.
PD Predicate disambiguation batch_69bd521671688190bc655d25fa77eba2 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1 p.m.