Triple

T21301182
Position Surface form Disambiguated ID Type / Status
Subject Fyodor Tyutchev E525065 entity
Predicate birthPlace P1 FINISHED
Object Ovstug
Ovstug is a rural locality in Russia best known as the birthplace of the 19th-century poet and diplomat Fyodor Tyutchev.
 E1507751 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: Ovstug | Statement: [Fyodor Tyutchev, birthPlace, Ovstug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ovstug
Context triple: [Fyodor Tyutchev, birthPlace, Ovstug]
  • A. Ulriksdal
    Ulriksdal is a district in Solna, Sweden, known for the historic Ulriksdal Palace and its surrounding parklands along the Edsviken inlet.
  • B. Steenodde
    Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
  • C. Østervrå
    Østervrå is a small town in the Vendsyssel region of northern Denmark.
  • D. Olsborg
    Olsborg is a small village in Målselv Municipality in Troms og Finnmark county in northern Norway.
  • E. Fagerborg
    Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
  • 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: Ovstug
Triple: [Fyodor Tyutchev, birthPlace, Ovstug]
Generated description
Ovstug is a rural locality in Russia best known as the birthplace of the 19th-century poet and diplomat Fyodor Tyutchev.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ovstug
Target entity description: Ovstug is a rural locality in Russia best known as the birthplace of the 19th-century poet and diplomat Fyodor Tyutchev.
  • A. Ulriksdal
    Ulriksdal is a district in Solna, Sweden, known for the historic Ulriksdal Palace and its surrounding parklands along the Edsviken inlet.
  • B. Steenodde
    Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
  • C. Østervrå
    Østervrå is a small town in the Vendsyssel region of northern Denmark.
  • D. Olsborg
    Olsborg is a small village in Målselv Municipality in Troms og Finnmark county in northern Norway.
  • E. Fagerborg
    Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385c078881908a451be1a19a64c5 completed April 21, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a59ee34cc8190857b9ac2c563f2fc completed May 18, 2026, 12:14 a.m.
NEDg Description generation batch_6a0a5b34e1948190868859eae050ed22 completed May 18, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0a5bce1c388190aa0149fab353f30f completed May 18, 2026, 12:22 a.m.
Created at: April 16, 2026, 4:05 p.m.