Triple

T17893897
Position Surface form Disambiguated ID Type / Status
Subject MVD Spetsnaz E447384 entity
Predicate notableUnit P304 FINISHED
Object Rosich
Rosich is a Russian MVD special forces unit known for high-risk counterterrorism and special operations.
 E1294980 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: Rosich | Statement: [MVD Spetsnaz, notableUnit, Rosich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rosich
Context triple: [MVD Spetsnaz, notableUnit, Rosich]
  • A. Rusich
    Rusich is a series of modern Russian metro trains used in several cities’ subway systems, known for their articulated design and improved passenger comfort.
  • B. Rosice
    Rosice is a small town in the South Moravian area of the Czech Republic, situated near the city of Brno.
  • C. Richel
    Richel is a small, uninhabited sandbar island in the Wadden Sea off the Dutch coast, known as part of the West Frisian Islands archipelago.
  • D. Rinas
    Rinas is a village near Tirana in Albania best known as the location of the country’s main international airport.
  • E. Roisel
    Roisel is a small commune in the Somme department of northern France, situated within the historical region of Picardy.
  • 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: Rosich
Triple: [MVD Spetsnaz, notableUnit, Rosich]
Generated description
Rosich is a Russian MVD special forces unit known for high-risk counterterrorism and special operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rosich
Target entity description: Rosich is a Russian MVD special forces unit known for high-risk counterterrorism and special operations.
  • A. Rusich
    Rusich is a series of modern Russian metro trains used in several cities’ subway systems, known for their articulated design and improved passenger comfort.
  • B. Rosice
    Rosice is a small town in the South Moravian area of the Czech Republic, situated near the city of Brno.
  • C. Richel
    Richel is a small, uninhabited sandbar island in the Wadden Sea off the Dutch coast, known as part of the West Frisian Islands archipelago.
  • D. Rinas
    Rinas is a village near Tirana in Albania best known as the location of the country’s main international airport.
  • E. Roisel
    Roisel is a small commune in the Somme department of northern France, situated within the historical region of Picardy.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7ccf808190b4c1fd477043bcc8 completed April 19, 2026, 9:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a031b22e4bc8190b9b9632870d10334 completed May 12, 2026, 12:20 p.m.
NEDg Description generation batch_6a031c438a448190aabbd2057b47a88b completed May 12, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a031cc67f7881908933c14a5386fb25 completed May 12, 2026, 12:27 p.m.
Created at: April 10, 2026, 10:19 a.m.