Triple

T8137055
Position Surface form Disambiguated ID Type / Status
Subject Khreshchatyk Street E189997 entity
Predicate locatedInAdministrativeTerritorialEntity P40 FINISHED
Object Kyiv City E17733 NE 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: Kyiv City | Statement: [Khreshchatyk Street, locatedInAdministrativeTerritorialEntity, Kyiv City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyiv City
Context triple: [Khreshchatyk Street, locatedInAdministrativeTerritorialEntity, Kyiv City]
  • 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. Kyiv Metropolis
    Kyiv Metropolis was the principal ecclesiastical jurisdiction of the Eastern Orthodox Church in medieval Rus', centered in Kyiv and serving as the spiritual and administrative hub for the region’s Christian communities.
  • D. Kremenchuk
    Kremenchuk is an industrial city in central Ukraine on the Dnieper River, historically significant as a major transport and strategic hub.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb440171d48190afa4a312ab19389c completed March 31, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3457196081909f739af8c17b4d4c completed April 1, 2026, 3:05 p.m.
Created at: March 30, 2026, 5:35 p.m.