Triple

T29029853
Position Surface form Disambiguated ID Type / Status
Subject Komarova E737698 entity
Predicate scriptFormCyrillic P34124 FINISHED
Object Комарова
Комарова — распространённая русская фамилия, образованная от слова «комар» и встречающаяся у многих людей в России и других странах бывшего СССР.
 E1845412 NE FINISHED

How this triple was built (3 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: Комарова | Statement: [Komarova, scriptFormCyrillic, Комарова]
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: Комарова
Triple: [Komarova, scriptFormCyrillic, Комарова]
Generated description
Комарова — распространённая русская фамилия, образованная от слова «комар» и встречающаяся у многих людей в России и других странах бывшего СССР.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: scriptFormCyrillic
Context triple: [Komarova, scriptFormCyrillic, Комарова]
  • A. hasCyrillicAlphabetForm chosen
    Indicates that an entity has a corresponding representation or form written in the Cyrillic alphabet.
  • B. typicalScriptForm
    Indicates the usual or standard written script or notation in which something is commonly represented.
  • C. CyrillicName
    Indicates that an entity has a name written in the Cyrillic script.
  • D. textScript
    Indicates the writing system or script in which a given piece of text is expressed.
  • E. inscriptionTextRussian
    Indicates that the associated inscription or written text is expressed in the Russian language.
  • F. None of above.

Provenance (6 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_69f077ef00fc81909325f084ad37c035 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f6d6a6b04c8190bee4cf9c00665ef7 completed May 3, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2505d780d88190a0ed521fd29d0883 completed June 7, 2026, 5:47 a.m.
NEDg Description generation batch_6a250aa86fc08190aaea94c6a6476a03 completed June 7, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_6a250eb93bc4819088c3b590253dc864 completed June 7, 2026, 6:24 a.m.
PD Predicate disambiguation batch_69f6d26ceb08819091c71c001e954936 completed May 3, 2026, 4:43 a.m.
Created at: April 28, 2026, 9:54 a.m.