Triple

T8137097
Position Surface form Disambiguated ID Type / Status
Subject Khreshchatyk Street E189997 entity
Predicate UkrainianName P25447 FINISHED
Object Хрещатик E189997 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: Хрещатик | Statement: [Khreshchatyk Street, UkrainianName, Хрещатик]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Хрещатик
Context triple: [Khreshchatyk Street, UkrainianName, Хрещатик]
  • A. Khreshchatyk Street chosen
    Khreshchatyk Street is the central thoroughfare of Kyiv, renowned as the city’s main ceremonial and commercial avenue and a focal point for national events and public gatherings.
  • B. Danylo Halytskyi Street
    Danylo Halytskyi Street is a notable street in Lutsk, Ukraine, known for its historical significance and central location in the city’s old town.
  • C. Hrushevsky Street
    Hrushevsky Street is a major central thoroughfare in Kyiv, Ukraine, known for hosting key government buildings and serving as an important political and historical hub.
  • D. Piotrkowska Street
    Piotrkowska Street is the main commercial and cultural thoroughfare of Łódź, Poland, known for its length, historic architecture, shops, restaurants, and vibrant urban life.
  • E. Aleja Korfantego
    Aleja Korfantego is a major thoroughfare in Katowice, Poland, known for hosting key city landmarks and venues.
  • 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_69cc949d9c7c81908efb4880f9250166 completed April 1, 2026, 3:44 a.m.
Created at: March 30, 2026, 5:35 p.m.