Triple

T25514
Position Surface form Disambiguated ID Type / Status
Subject Livadia Palace E510 entity
Predicate locatedIn P40 FINISHED
Object Livadia
Livadia is a resort settlement in Crimea best known as the site of the historic Livadia Palace, where the 1945 Yalta Conference was held.
 E1985 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: Livadia | Statement: [Livadia Palace, locatedIn, Livadia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Livadia
Context triple: [Livadia Palace, locatedIn, Livadia]
  • A. Livadia Palace
    Livadia Palace is a former summer residence of the Russian imperial family in Crimea, best known as the site of the 1945 Yalta Conference where Allied leaders planned the post–World War II order.
  • B. Kendal Green
    Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
  • C. Rosslyn
    Rosslyn is a major urban business district in Arlington, Virginia, known for its high-rise skyline, corporate offices, and views across the Potomac River to Washington, D.C.
  • D. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • E. Nelson
    Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
  • 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: Livadia
Triple: [Livadia Palace, locatedIn, Livadia]
Generated description
Livadia is a resort settlement in Crimea best known as the site of the historic Livadia Palace, where the 1945 Yalta Conference was held.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Livadia
Target entity description: Livadia is a resort settlement in Crimea best known as the site of the historic Livadia Palace, where the 1945 Yalta Conference was held.
  • A. Livadia Palace
    Livadia Palace is a former summer residence of the Russian imperial family in Crimea, best known as the site of the 1945 Yalta Conference where Allied leaders planned the post–World War II order.
  • B. Gori
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • C. Kendal Green
    Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
  • D. Rosslyn
    Rosslyn is a major urban business district in Arlington, Virginia, known for its high-rise skyline, corporate offices, and views across the Potomac River to Washington, D.C.
  • E. Vichy
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a246776cf48190aca9855cb07e8d89 completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a248e88e588190a704e7b83d3dc07c completed Feb. 28, 2026, 1:46 a.m.
NEDg Description generation batch_69a24c29bf64819087a7b51e8a94c278 completed Feb. 28, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69a24cb52c9c8190a27dcb969b989649 completed Feb. 28, 2026, 2:02 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.