Triple

T2675014
Position Surface form Disambiguated ID Type / Status
Subject Vetluga River E56437 entity
Predicate hasCityOnBank P7935 FINISHED
Object Vetluga
Vetluga is a small town in Nizhny Novgorod Oblast, Russia, situated along the Vetluga River and serving as a local administrative and cultural center.
 E287693 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: Vetluga | Statement: [Vetluga River, hasCityOnBank, Vetluga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vetluga
Context triple: [Vetluga River, hasCityOnBank, Vetluga]
  • A. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • B. Sosnovy Bor
    Sosnovy Bor is a Russian coastal town on the Gulf of Finland known for its large nuclear power plant and role as an energy and industrial center.
  • C. Vyatka
    Vyatka was a historic region and town in northeastern European Russia, known as a frontier area that was gradually incorporated into the centralized Russian state.
  • D. Medveditsa
    Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don River.
  • E. Khovrino
    Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
  • 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: Vetluga
Triple: [Vetluga River, hasCityOnBank, Vetluga]
Generated description
Vetluga is a small town in Nizhny Novgorod Oblast, Russia, situated along the Vetluga River and serving as a local administrative and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vetluga
Target entity description: Vetluga is a small town in Nizhny Novgorod Oblast, Russia, situated along the Vetluga River and serving as a local administrative and cultural center.
  • A. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • B. Sosnovy Bor
    Sosnovy Bor is a Russian coastal town on the Gulf of Finland known for its large nuclear power plant and role as an energy and industrial center.
  • C. Vyatka
    Vyatka was a historic region and town in northeastern European Russia, known as a frontier area that was gradually incorporated into the centralized Russian state.
  • D. Medveditsa
    Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don River.
  • E. Khovrino
    Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b3530c819093942cc985f814ef completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0638a9c8190b48ca5aa56eb66ff completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa0e62fa08190bf278abfce54708d completed March 10, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69afa1ca3b388190840e3b150468dc23 completed March 10, 2026, 4:44 a.m.
Created at: March 6, 2026, 9:54 p.m.