Triple

T4933600
Position Surface form Disambiguated ID Type / Status
Subject Kyiv Oblast E110754 entity
Predicate hasCityWithSpecialStatus P31012 FINISHED
Object Kyiv E17733 NE FINISHED

How this triple was built (3 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: Kyiv | Statement: [Kyiv Oblast, hasCityWithSpecialStatus, Kyiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyiv
Context triple: [Kyiv Oblast, hasCityWithSpecialStatus, Kyiv]
  • A. Kyiv chosen
    Kyiv is the capital and largest city of Ukraine, serving as its political, cultural, and economic center.
  • B. Kharkiv
    Kharkiv is Ukraine’s second-largest city and a major industrial, cultural, and educational center in the northeast of the country.
  • C. Dnipro
    Dnipro is one of Ukraine’s largest industrial and cultural centers, located on the Dnieper River in the central-eastern part of the country.
  • D. Kremenchuk
    Kremenchuk is an industrial city in central Ukraine on the Dnieper River, historically significant as a major transport and strategic hub.
  • E. Chernihiv
    Chernihiv is a historic city in northern Ukraine known for its ancient churches, rich cultural heritage, and role as a regional administrative and memorial center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCityWithSpecialStatus
Context triple: [Kyiv Oblast, hasCityWithSpecialStatus, Kyiv]
  • A. hasSpecialLegalStatus
    Indicates that an entity possesses a distinct, formally recognized legal standing or set of rights and obligations that differs from the standard legal status of comparable entities.
  • B. hasCapitalDistrictStatus
    Indicates that an administrative region holds the official status of being a capital district within a country or larger jurisdiction.
  • C. hasCityStatusFor
    Indicates that an entity holds official city status within the jurisdiction or context of another entity.
  • D. hasCityDesignatedAs chosen
    Indicates that an entity has a specific city formally assigned or designated to it in a particular role or capacity.
  • E. hasIndependentCity
    Indicates that a larger administrative region or entity contains a city that is administratively independent from the surrounding local jurisdictions.
  • F. None of above.

Provenance (4 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70652d988190ba4a493db510952e completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfa1bb8b5481908f02d08594cc2e1f completed March 22, 2026, 8 a.m.
PD Predicate disambiguation batch_69bd6c3695c8819094e7ad2f6d4ba1ac completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:30 p.m.