Triple

T9551127
Position Surface form Disambiguated ID Type / Status
Subject Khamovniki District E230422 entity
Predicate hasEconomicStatus P2987 FINISHED
Object high-income area — 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: high-income area | Statement: [Khamovniki District, hasEconomicStatus, high-income area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEconomicStatus
Context triple: [Khamovniki District, hasEconomicStatus, high-income area]
  • A. economicStatus chosen
    Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
  • B. hasEconomicPosition
    Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
  • C. hasEconomicRole
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • D. hasEconomicResource
    Indicates that an entity possesses, controls, or has access to an economic resource (such as money, assets, or productive means) that can be used for economic activities or value creation.
  • E. hasEconomicChallenge
    Indicates that an entity is experiencing or facing a financial or economic difficulty, constraint, or problem.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd991df7308190a56d95f195627513 completed April 1, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69ccd594d0ac8190a81bc11a3a538167 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:02 p.m.