Triple

T11846563
Position Surface form Disambiguated ID Type / Status
Subject Rybinsk E281792 entity
Predicate historicalName P65 FINISHED
Object Rybansk
Rybansk is a former historical name of the Russian city now known as Rybinsk, located on the Volga River.
E952210 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: Rybansk | Statement: [Rybinsk, historicalName, Rybansk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rybansk
Context triple: [Rybinsk, historicalName, Rybansk]
  • A. Rybachye
    Rybachye is the former name of Balykchy, a town on the western shore of Lake Issyk-Kul in Kyrgyzstan.
  • B. Bóbrka
    Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
  • C. Rybnik
    Rybnik is a significant industrial and cultural city in the Silesian region of southern Poland, known for its coal mining heritage and regional economic importance.
  • D. Rybno
    Rybno is a town in northern Poland located in the Warmian-Masurian Voivodeship, known for its lakes and natural surroundings.
  • E. Bílina
    Bílina is a river in the Czech Republic that flows through the Ústí nad Labem Region and is known for passing through several industrial and mining areas.
  • 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: Rybansk
Triple: [Rybinsk, historicalName, Rybansk]
Generated description
Rybansk is a former historical name of the Russian city now known as Rybinsk, located on the Volga River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rybansk
Target entity description: Rybansk is a former historical name of the Russian city now known as Rybinsk, located on the Volga River.
  • A. Rybachye
    Rybachye is the former name of Balykchy, a town on the western shore of Lake Issyk-Kul in Kyrgyzstan.
  • B. Bóbrka
    Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
  • C. Rybnik
    Rybnik is a significant industrial and cultural city in the Silesian region of southern Poland, known for its coal mining heritage and regional economic importance.
  • D. Rybno
    Rybno is a town in northern Poland located in the Warmian-Masurian Voivodeship, known for its lakes and natural surroundings.
  • E. Bílina
    Bílina is a river in the Czech Republic that flows through the Ústí nad Labem Region and is known for passing through several industrial and mining areas.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65b5ff08190bb58361f6a6acdca completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f2814210e48190821fca390dc7e312 completed April 29, 2026, 10:08 p.m.
NEDg Description generation batch_69f40b2d0a388190a11a0e2d806e310b completed May 1, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_69f40deb4eec8190a8fe1aa59b1514e6 completed May 1, 2026, 2:20 a.m.
Created at: April 8, 2026, 9:43 p.m.