Triple

T5316543
Position Surface form Disambiguated ID Type / Status
Subject Kolomna E119163 entity
Predicate historicalRegion P915 FINISHED
Object Rus
Rus was a medieval East Slavic cultural and political realm that laid the foundations for the modern nations of Russia, Ukraine, and Belarus.
 E511088 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: Rus | Statement: [Kolomna, historicalRegion, Rus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rus
Context triple: [Kolomna, historicalRegion, Rus]
  • A. RUS
    RUS is the acronym for the Rural Utilities Service, a U.S. government agency that provides funding and support for rural infrastructure such as electricity, water, and telecommunications.
  • B. Russin
    Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
  • C. RU
    RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
  • D. RU
    RU is the historic vehicle registration code that was used for the English county of Rutland.
  • E. RU
    RU is the common abbreviation for Radboud University Nijmegen, a major research university located in Nijmegen, the Netherlands.
  • 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: Rus
Triple: [Kolomna, historicalRegion, Rus]
Generated description
Rus was a medieval East Slavic cultural and political realm that laid the foundations for the modern nations of Russia, Ukraine, and Belarus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rus
Target entity description: Rus was a medieval East Slavic cultural and political realm that laid the foundations for the modern nations of Russia, Ukraine, and Belarus.
  • A. RUS
    RUS is the acronym for the Rural Utilities Service, a U.S. government agency that provides funding and support for rural infrastructure such as electricity, water, and telecommunications.
  • B. Russin
    Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
  • C. RU
    RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
  • D. RU
    RU is the historic vehicle registration code that was used for the English county of Rutland.
  • E. RU
    RU is the two-letter ISO 3166 country code for the Russian Federation.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd854fd07c8190b4f1c3c8e618c308 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf110e89548190a5eb0bad6ab0483b completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf1263876c8190a278f06ad8ac816a completed March 21, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69bf12c123008190a0d3f3c23af59819 completed March 21, 2026, 9:50 p.m.
Created at: March 20, 2026, 1:54 p.m.