Triple

T6211802
Position Surface form Disambiguated ID Type / Status
Subject Rostov Oblast E138886 entity
Predicate hasCity P316 FINISHED
Object Millerovo
Millerovo is a town in southwestern Russia known as a local administrative and transport center within Rostov Oblast.
 E575646 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: Millerovo | Statement: [Rostov Oblast, hasCity, Millerovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Millerovo
Context triple: [Rostov Oblast, hasCity, Millerovo]
  • A. Machová
    Machová is a Czech surname, typically the feminine form of the surname Mach.
  • B. Miková
    Miková is a small village in northeastern Slovakia, notable as the birthplace of Julia Warhola, mother of artist Andy Warhol.
  • C. Mže
    Mže is a river in the Czech Republic that flows through the city of Plzeň and forms part of the Berounka river system.
  • D. Melnik
    Melnik is a small historic town in southwestern Bulgaria, renowned for its distinctive sandstone pyramids, traditional architecture, and local wine production.
  • E. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • 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: Millerovo
Triple: [Rostov Oblast, hasCity, Millerovo]
Generated description
Millerovo is a town in southwestern Russia known as a local administrative and transport center within Rostov Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Millerovo
Target entity description: Millerovo is a town in southwestern Russia known as a local administrative and transport center within Rostov Oblast.
  • A. Machová
    Machová is a Czech surname, typically the feminine form of the surname Mach.
  • B. Miková
    Miková is a small village in northeastern Slovakia, notable as the birthplace of Julia Warhola, mother of artist Andy Warhol.
  • C. Mže
    Mže is a river in the Czech Republic that flows through the city of Plzeň and forms part of the Berounka river system.
  • D. Melnik
    Melnik is a small historic town in southwestern Bulgaria, renowned for its distinctive sandstone pyramids, traditional architecture, and local wine production.
  • E. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0628adccc8190b94f5c2c1d5d03f7 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f5cf41c8190b4efb1dc0a4a0e5e completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1d54bffa881909edcd1342b8d8ce5 completed March 24, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_69c1d7aec88081908bde0557888b5524 completed March 24, 2026, 12:15 a.m.
Created at: March 22, 2026, 4:21 p.m.