Triple

T3329210
Position Surface form Disambiguated ID Type / Status
Subject Theodosia E69993 entity
Predicate hasNameInLanguage P15 FINISHED
Object Феодосія@Ukrainian
Феодосія — це українська назва міста Феодосія, курортного та портового центру на узбережжі Чорного моря в Криму.
 E349385 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: Феодосія@Ukrainian | Statement: [Theodosia, hasNameInLanguage, Феодосія@Ukrainian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Феодосія@Ukrainian
Context triple: [Theodosia, hasNameInLanguage, Феодосія@Ukrainian]
  • A. Odesa
    Odesa is a major port city on the Black Sea in southern Ukraine, known for its historic architecture, multicultural heritage, and key economic and cultural role in the country.
  • B. Mykolaiv
    Mykolaiv is a major shipbuilding and industrial city in southern Ukraine located near the Black Sea.
  • C. Kherson
    Kherson is a port city in southern Ukraine near the Black Sea, historically significant as a shipbuilding and industrial center and strategically important due to its location on the Dnieper River.
  • D. Odessa
    Odessa is a mid-sized city in western Texas known for its oil industry, high school football culture, and role in the Permian Basin energy region.
  • E. Simferopol
    Simferopol is the administrative and cultural center of Crimea, known as a key regional hub for transportation, education, and industry.
  • 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: Феодосія@Ukrainian
Triple: [Theodosia, hasNameInLanguage, Феодосія@Ukrainian]
Generated description
Феодосія — це українська назва міста Феодосія, курортного та портового центру на узбережжі Чорного моря в Криму.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Феодосія@Ukrainian
Target entity description: Феодосія — це українська назва міста Феодосія, курортного та портового центру на узбережжі Чорного моря в Криму.
  • A. Odesa
    Odesa is a major port city on the Black Sea in southern Ukraine, known for its historic architecture, multicultural heritage, and key economic and cultural role in the country.
  • B. Mykolaiv
    Mykolaiv is a major shipbuilding and industrial city in southern Ukraine located near the Black Sea.
  • C. Kherson
    Kherson is a port city in southern Ukraine near the Black Sea, historically significant as a shipbuilding and industrial center and strategically important due to its location on the Dnieper River.
  • D. Odessa
    Odessa is a mid-sized city in western Texas known for its oil industry, high school football culture, and role in the Permian Basin energy region.
  • E. Simferopol
    Simferopol is the administrative and cultural center of Crimea, known as a key regional hub for transportation, education, and industry.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1708b908190bc5c4122623d9b77 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7ec9f48190873d90b678713bad completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c368e4c8190a011833fce090a7d completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31d3fa6088190a5abf858c01c25bc completed March 12, 2026, 8:08 p.m.
Created at: March 8, 2026, 3:12 p.m.