Triple

T11402368
Position Surface form Disambiguated ID Type / Status
Subject Anna Fyodorovna Paletskaya E270144 entity
Predicate familyName P18 FINISHED
Object Paletskaya
Paletskaya is a Russian surname associated with the noblewoman Anna Fyodorovna Paletskaya.
 E925870 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: Paletskaya | Statement: [Anna Fyodorovna Paletskaya, familyName, Paletskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paletskaya
Context triple: [Anna Fyodorovna Paletskaya, familyName, Paletskaya]
  • A. Paveletskaya
    Paveletskaya is a Moscow Metro station named after the nearby Paveletsky railway terminal, serving as a key transport hub in the city’s network.
  • B. Shakhovskoye
    Shakhovskoye is a rural locality in Russia known primarily as the birthplace of Soviet politician Mikhail Suslov.
  • C. Polevskoy
    Polevskoy is an industrial town in Russia’s Ural region, historically associated with copper mining and metallurgy.
  • D. Otradnoye
    Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
  • E. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • 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: Paletskaya
Triple: [Anna Fyodorovna Paletskaya, familyName, Paletskaya]
Generated description
Paletskaya is a Russian surname associated with the noblewoman Anna Fyodorovna Paletskaya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paletskaya
Target entity description: Paletskaya is a Russian surname associated with the noblewoman Anna Fyodorovna Paletskaya.
  • A. Paveletskaya
    Paveletskaya is a Moscow Metro station named after the nearby Paveletsky railway terminal, serving as a key transport hub in the city’s network.
  • B. Shakhovskoye
    Shakhovskoye is a rural locality in Russia known primarily as the birthplace of Soviet politician Mikhail Suslov.
  • C. Polevskoy
    Polevskoy is an industrial town in Russia’s Ural region, historically associated with copper mining and metallurgy.
  • D. Otradnoye
    Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
  • E. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3470e208190aef43936bac2e4e9 completed April 20, 2026, 7:18 a.m.
NEDg Description generation batch_69e5d659fd7c819090b168168e355cb8 completed April 20, 2026, 7:31 a.m.
NED2 Entity disambiguation (via description) batch_69e5d7f238cc8190a1c2dd26bdc5ff77 completed April 20, 2026, 7:38 a.m.
Created at: April 8, 2026, 9:34 p.m.