Triple

T2763413
Position Surface form Disambiguated ID Type / Status
Subject Second Bulgarian Empire E61275 entity
Predicate majorCity P316 FINISHED
Object Cherven
Cherven was a significant medieval Bulgarian fortress town that served as an important military, economic, and administrative center during the Second Bulgarian Empire.
 E296629 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: Cherven | Statement: [Second Bulgarian Empire, majorCity, Cherven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cherven
Context triple: [Second Bulgarian Empire, majorCity, Cherven]
  • A. Vidnoye
    Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
  • B. Sironcha
    Sironcha is a town in the Gadchiroli district of Maharashtra, India, situated near the confluence of the Pranhita and Godavari rivers.
  • C. Virganskaya
    Virganskaya is a Russian surname most notably borne by Irina Virganskaya, the daughter of former Soviet leader Mikhail Gorbachev.
  • D. Ivanychi
    Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
  • E. Kvirila
    Kvirila is a river in western Georgia that flows through the Imereti region before joining the Rioni River.
  • 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: Cherven
Triple: [Second Bulgarian Empire, majorCity, Cherven]
Generated description
Cherven was a significant medieval Bulgarian fortress town that served as an important military, economic, and administrative center during the Second Bulgarian Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cherven
Target entity description: Cherven was a significant medieval Bulgarian fortress town that served as an important military, economic, and administrative center during the Second Bulgarian Empire.
  • A. Vidnoye
    Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
  • B. Sironcha
    Sironcha is a town in the Gadchiroli district of Maharashtra, India, situated near the confluence of the Pranhita and Godavari rivers.
  • C. Virganskaya
    Virganskaya is a Russian surname most notably borne by Irina Virganskaya, the daughter of former Soviet leader Mikhail Gorbachev.
  • D. Ivanychi
    Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
  • E. Kvirila
    Kvirila is a river in western Georgia that flows through the Imereti region before joining the Rioni River.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd5291d88190a7347af947a2a564 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04630b8819081cd8ddac1d42184 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc0b6368081908e2520ac6680a409 completed March 10, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69afc145e61881908c0eeae455b02a78 completed March 10, 2026, 6:59 a.m.
Created at: March 6, 2026, 9:57 p.m.