Triple

T2530254
Position Surface form Disambiguated ID Type / Status
Subject Oka River E56140 entity
Predicate flowsThrough P225 FINISHED
Object Murom
Murom is an ancient Russian city in Vladimir Oblast, known as one of the oldest settlements in Russia and a historic center of Eastern Orthodox culture.
E354656 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: Murom | Statement: [Oka River, flowsThrough, Murom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murom
Context triple: [Oka River, flowsThrough, Murom]
  • A. Ryazan
    Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
  • B. Penza
    Penza is a city in western Russia known as a regional cultural and industrial center.
  • C. Pereiaslavl
    Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
  • D. Voronezh
    Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
  • E. Kostroma
    Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
  • 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: Murom
Triple: [Oka River, flowsThrough, Murom]
Generated description
Murom is an ancient Russian city in Vladimir Oblast, known as one of the oldest settlements in Russia and a historic center of Eastern Orthodox culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Murom
Target entity description: Murom is an ancient Russian city in Vladimir Oblast, known as one of the oldest settlements in Russia and a historic center of Eastern Orthodox culture.
  • A. Ryazan
    Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
  • B. Penza
    Penza is a city in western Russia known as a regional cultural and industrial center.
  • C. Pereiaslavl
    Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
  • D. Voronezh
    Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
  • E. Kostroma
    Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
  • 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd276930c8190bd46b52e06b7098e completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b34ba6d2cc819091d748b8af7ccbe6 completed March 12, 2026, 11:26 p.m.
NEDg Description generation batch_69b34e44bd748190a9c6c67be6bcb9de completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34ed57bf0819080fa0eb8e6875cb6 completed March 12, 2026, 11:40 p.m.
Created at: March 6, 2026, 9:46 p.m.