Triple

T18285211
Position Surface form Disambiguated ID Type / Status
Subject Ivan Vazov E437963 entity
Predicate placeOfBirth P1 FINISHED
Object Sopot
Sopot is a small Bulgarian town in the Rose Valley, known as the birthplace of national writer Ivan Vazov and for its traditional architecture and cultural heritage.
 E1333882 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: Sopot | Statement: [Ivan Vazov, placeOfBirth, Sopot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sopot
Context triple: [Ivan Vazov, placeOfBirth, Sopot]
  • A. Sopot
    Sopot is a Polish Baltic Sea resort city famous for its sandy beaches, long wooden pier, and vibrant spa and nightlife culture.
  • B. Sopot
    Sopot is a suburban municipality of Belgrade, Serbia, known for its rural character and proximity to the Avala and Kosmaj mountains.
  • C. Serock
    Serock is a locality situated near the Western Bug River in eastern Europe.
  • D. Gdynia
    Gdynia is a major seaport city on Poland’s Baltic coast, developed rapidly in the 20th century into one of the country’s key maritime and economic centers.
  • E. Bydgoszcz
    Bydgoszcz is a major city in northern Poland known as an important economic, cultural, and academic center on the Brda and Vistula rivers.
  • 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: Sopot
Triple: [Ivan Vazov, placeOfBirth, Sopot]
Generated description
Sopot is a small Bulgarian town in the Rose Valley, known as the birthplace of national writer Ivan Vazov and for its traditional architecture and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sopot
Target entity description: Sopot is a small Bulgarian town in the Rose Valley, known as the birthplace of national writer Ivan Vazov and for its traditional architecture and cultural heritage.
  • A. Sopot
    Sopot is a Polish Baltic Sea resort city famous for its sandy beaches, long wooden pier, and vibrant spa and nightlife culture.
  • B. Sopot
    Sopot is a suburban municipality of Belgrade, Serbia, known for its rural character and proximity to the Avala and Kosmaj mountains.
  • C. Serock
    Serock is a locality situated near the Western Bug River in eastern Europe.
  • D. Gdynia
    Gdynia is a major seaport city on Poland’s Baltic coast, developed rapidly in the 20th century into one of the country’s key maritime and economic centers.
  • E. Bydgoszcz
    Bydgoszcz is a major city in northern Poland known as an important economic, cultural, and academic center on the Brda and Vistula rivers.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500f913d48190b41a1e37ca05e8b1 completed April 19, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05036a457481909ee7e4b1b8246797 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a05076aaaf08190a1412e1801b65a77 completed May 13, 2026, 11:21 p.m.
NED2 Entity disambiguation (via description) batch_6a05080e38488190aa619ec1f38f77de completed May 13, 2026, 11:23 p.m.
Created at: April 10, 2026, 10:35 a.m.