Triple

T8440051
Position Surface form Disambiguated ID Type / Status
Subject Chernihiv region E199327 entity
Predicate containsTown P847 FINISHED
Object Mena
Mena is a small town located in northern Ukraine’s Chernihiv region, known for its rural character and local agricultural activities.
 E733509 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: Mena | Statement: [Chernihiv region, containsTown, Mena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mena
Context triple: [Chernihiv region, containsTown, Mena]
  • A. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • B. Lyonne
    Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
  • C. Marissa
    Marissa is a feminine given name commonly used in English-speaking countries.
  • D. Naima
    Naima is a character in the gospel musical and film "Black Nativity," which reimagines the Nativity story through an African-American cultural and spiritual lens.
  • E. Naima
    "Naima" is a lyrical, modal jazz ballad composed by saxophonist John Coltrane, renowned for its haunting melody and emotional depth.
  • 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: Mena
Triple: [Chernihiv region, containsTown, Mena]
Generated description
Mena is a small town located in northern Ukraine’s Chernihiv region, known for its rural character and local agricultural activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mena
Target entity description: Mena is a small town located in northern Ukraine’s Chernihiv region, known for its rural character and local agricultural activities.
  • A. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • B. Lyonne
    Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
  • C. Marissa
    Marissa is a feminine given name commonly used in English-speaking countries.
  • D. Naima
    "Naima" is a lyrical, modal jazz ballad composed by saxophonist John Coltrane, renowned for its haunting melody and emotional depth.
  • E. Naima
    Naima is a character in the gospel musical and film "Black Nativity," which reimagines the Nativity story through an African-American cultural and spiritual lens.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe13708988190a534e38d8254c9bd completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d9140b48190ad0c493948a3de5e completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1f12e1a081909d28b06c520353ef completed April 2, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce1fb498448190a2737b8895f6bb48 completed April 2, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:08 p.m.