Triple

T20337123
Position Surface form Disambiguated ID Type / Status
Subject ცხინვალი E495642 entity
Predicate დემოგრაფია P343 FINISHED
Object ოსური მოსახლეობის მნიშვნელოვანი წილი 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: ოსური მოსახლეობის მნიშვნელოვანი წილი | Statement: [ცხინვალი, დემოგრაფია, ოსური მოსახლეობის მნიშვნელოვანი წილი]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: დემოგრაფია
Context triple: [ცხინვალი, დემოგრაფია, ოსური მოსახლეობის მნიშვნელოვანი წილი]
  • A. demographics chosen
    Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
  • B. demographicBasis
    Indicates that something is determined, classified, or justified based on demographic characteristics such as age, gender, ethnicity, or similar population attributes.
  • C. demographicsSource
    Indicates the origin or provider from which demographic information about an entity is obtained.
  • D. hasDemographic
    Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
  • E. demographicsDescriptor
    Indicates a descriptive attribute or classification that characterizes the demographic properties of an entity or group.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677ed75e081909bfc534033ac1c59 completed April 20, 2026, 7:01 p.m.
PD Predicate disambiguation batch_69e5762655ac8190a8cc48a29fa2c0c4 completed April 20, 2026, 12:41 a.m.
Created at: April 16, 2026, 11:23 a.m.