Triple

T21297572
Position Surface form Disambiguated ID Type / Status
Subject Lyudmila Ulitskaya E524964 entity
Predicate birthPlace P1 FINISHED
Object Davlekanovo
Davlekanovo is a small town in the Republic of Bashkortostan, Russia, known as an industrial and cultural center in the region.
E1475820 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: Davlekanovo | Statement: [Lyudmila Ulitskaya, birthPlace, Davlekanovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davlekanovo
Context triple: [Lyudmila Ulitskaya, birthPlace, Davlekanovo]
  • A. Lechovo
    Lechovo is a village in northern Greece located within the Florina regional unit, known for its traditional Macedonian architecture and mountainous surroundings.
  • B. Đurđevo
    Đurđevo is a village in the municipality of Žabalj in the Vojvodina region of northern Serbia.
  • C. Dušanovac
    Dušanovac is an urban neighborhood of Belgrade, Serbia, known as a residential and commercial area within the municipality of Voždovac.
  • D. Veldemanovo
    Veldemanovo is a rural locality historically notable as the birthplace of Patriarch Nikon of Moscow, a major 17th-century reformer of the Russian Orthodox Church.
  • E. Doljevac
    Doljevac is a municipality in southern Serbia known for its rural settlements and location near the city of Niš.
  • 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: Davlekanovo
Triple: [Lyudmila Ulitskaya, birthPlace, Davlekanovo]
Generated description
Davlekanovo is a small town in the Republic of Bashkortostan, Russia, known as an industrial and cultural center in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Davlekanovo
Target entity description: Davlekanovo is a small town in the Republic of Bashkortostan, Russia, known as an industrial and cultural center in the region.
  • A. Lechovo
    Lechovo is a village in northern Greece located within the Florina regional unit, known for its traditional Macedonian architecture and mountainous surroundings.
  • B. Đurđevo
    Đurđevo is a village in the municipality of Žabalj in the Vojvodina region of northern Serbia.
  • C. Dušanovac
    Dušanovac is an urban neighborhood of Belgrade, Serbia, known as a residential and commercial area within the municipality of Voždovac.
  • D. Veldemanovo
    Veldemanovo is a rural locality historically notable as the birthplace of Patriarch Nikon of Moscow, a major 17th-century reformer of the Russian Orthodox Church.
  • E. Doljevac
    Doljevac is a municipality in southern Serbia known for its rural settlements and location near the city of Niš.
  • 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_69e7385968308190bc9fe5c2bd4598e6 completed April 21, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099814529c8190a94cfd3355862d0f completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998b0c09081909f99cdd4064f55cc completed May 17, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_6a09993444c88190a5f594315b81c34a completed May 17, 2026, 10:32 a.m.
Created at: April 16, 2026, 4:04 p.m.