Triple

T10997232
Position Surface form Disambiguated ID Type / Status
Subject Olga Kurylenko E259906 entity
Predicate placeOfBirth P1 FINISHED
Object Berdiansk
Berdiansk is a port city on the northern coast of the Sea of Azov in southeastern Ukraine, known for its beaches and resort facilities.
E957454 NE FINISHED

How this triple was built (4 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: Berdiansk | Statement: [Olga Kurylenko, placeOfBirth, Berdiansk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berdiansk
Context triple: [Olga Kurylenko, placeOfBirth, Berdiansk]
  • A. Berdichev
    Berdichev is a historic city in present-day Ukraine, long known as a major center of Jewish life and commerce in Eastern Europe.
  • B. Zbarazh
    Zbarazh is a historic town in western Ukraine known for its medieval castle and role in regional political and military history.
  • C. Baturyn
    Baturyn is a historic town in northern Ukraine that served as a major political and military center of the Cossack Hetmanate in the 17th–18th centuries.
  • D. Berehove
    Berehove is a town in western Ukraine’s Zakarpattia region known for its significant Hungarian community, thermal baths, and wine-making traditions.
  • E. Letychiv
    Letychiv is an urban-type settlement in western Ukraine known for its historic fortress and role as a local administrative center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Berdiansk
Triple: [Olga Kurylenko, placeOfBirth, Berdiansk]
Generated description
Berdiansk is a port city on the northern coast of the Sea of Azov in southeastern Ukraine, known for its beaches and resort facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berdiansk
Target entity description: Berdiansk is a port city on the northern coast of the Sea of Azov in southeastern Ukraine, known for its beaches and resort facilities.
  • A. Berdichev
    Berdichev is a historic city in present-day Ukraine, long known as a major center of Jewish life and commerce in Eastern Europe.
  • B. Zbarazh
    Zbarazh is a historic town in western Ukraine known for its medieval castle and role in regional political and military history.
  • C. Baturyn
    Baturyn is a historic town in northern Ukraine that served as a major political and military center of the Cossack Hetmanate in the 17th–18th centuries.
  • D. Berehove
    Berehove is a town in western Ukraine’s Zakarpattia region known for its significant Hungarian community, thermal baths, and wine-making traditions.
  • E. Letychiv
    Letychiv is an urban-type settlement in western Ukraine known for its historic fortress and role as a local administrative center.
  • F. None of above. chosen

Provenance (5 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d20b448190958331705de3a9be completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f470cbce14819099d47d468ae61df7 completed May 1, 2026, 9:22 a.m.
NEDg Description generation batch_69f47b755f808190acb2fb31473d2405 completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47d8bbae8819088d48b300291ef74 completed May 1, 2026, 10:16 a.m.
Created at: April 8, 2026, 9:24 p.m.