Triple

T7530942
Position Surface form Disambiguated ID Type / Status
Subject Henryk Sienkiewicz E178020 entity
Predicate placeOfBirth P1 FINISHED
Object Wola Okrzejska
Wola Okrzejska is a village in eastern Poland best known as the birthplace of Nobel Prize–winning novelist Henryk Sienkiewicz.
E669505 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: Wola Okrzejska | Statement: [Henryk Sienkiewicz, placeOfBirth, Wola Okrzejska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wola Okrzejska
Context triple: [Henryk Sienkiewicz, placeOfBirth, Wola Okrzejska]
  • A. Mokotów
    Mokotów is a large, centrally located district of Warsaw known for its residential neighborhoods, parks, and business centers.
  • B. Bielany
    Bielany is a northern district of Warsaw, Poland, known for its residential neighborhoods, green spaces, and connection to the city center via the Warsaw Metro.
  • C. Okęcie
    Okęcie is a district in Warsaw, Poland, best known for hosting the city’s main international airport and various aviation-related facilities.
  • D. Ujazdów
    Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
  • E. Wołosate
    Wołosate is a small village in southeastern Poland’s Bieszczady Mountains, known as a remote hiking base and the terminus of the Main Beskid Trail.
  • 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: Wola Okrzejska
Triple: [Henryk Sienkiewicz, placeOfBirth, Wola Okrzejska]
Generated description
Wola Okrzejska is a village in eastern Poland best known as the birthplace of Nobel Prize–winning novelist Henryk Sienkiewicz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wola Okrzejska
Target entity description: Wola Okrzejska is a village in eastern Poland best known as the birthplace of Nobel Prize–winning novelist Henryk Sienkiewicz.
  • A. Mokotów
    Mokotów is a large, centrally located district of Warsaw known for its residential neighborhoods, parks, and business centers.
  • B. Bielany
    Bielany is a northern district of Warsaw, Poland, known for its residential neighborhoods, green spaces, and connection to the city center via the Warsaw Metro.
  • C. Okęcie
    Okęcie is a district in Warsaw, Poland, best known for hosting the city’s main international airport and various aviation-related facilities.
  • D. Ujazdów
    Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
  • E. Wołosate
    Wołosate is a small village in southeastern Poland’s Bieszczady Mountains, known as a remote hiking base and the terminus of the Main Beskid Trail.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8217b1c8190b3db453cee0fc4fd completed March 27, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8463e08ac8190abd4d19b58067233 completed March 28, 2026, 9:21 p.m.
NEDg Description generation batch_69c846b326088190b93a32c70bcc97ca completed March 28, 2026, 9:22 p.m.
NED2 Entity disambiguation (via description) batch_69c8479490688190bc56b5a21d779b18 completed March 28, 2026, 9:26 p.m.
Created at: March 27, 2026, 3:47 p.m.