Triple

T4527143
Position Surface form Disambiguated ID Type / Status
Subject Svir River E106206 entity
Predicate alsoKnownAs P39 FINISHED
Object Svir
Svir is a river in northwestern Russia that connects Lake Onega with Lake Ladoga and forms part of the Volga–Baltic Waterway.
 E449778 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: Svir | Statement: [Svir River, alsoKnownAs, Svir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Svir
Context triple: [Svir River, alsoKnownAs, Svir]
  • A. Havelberg
    Havelberg is a small historic town in Saxony-Anhalt, Germany, known for its medieval cathedral and location at the confluence of the Havel and Elbe rivers.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Nevinnomyssk
    Nevinnomyssk is an industrial city in southwestern Russia known for its chemical and energy production sectors.
  • D. Kholmsk
    Kholmsk is a port town on the western coast of Sakhalin Island in Russia, serving as an important maritime transport hub in the Sea of Japan.
  • E. Kovel
    Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
  • 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: Svir
Triple: [Svir River, alsoKnownAs, Svir]
Generated description
Svir is a river in northwestern Russia that connects Lake Onega with Lake Ladoga and forms part of the Volga–Baltic Waterway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Svir
Target entity description: Svir is a river in northwestern Russia that connects Lake Onega with Lake Ladoga and forms part of the Volga–Baltic Waterway.
  • A. Havelberg
    Havelberg is a small historic town in Saxony-Anhalt, Germany, known for its medieval cathedral and location at the confluence of the Havel and Elbe rivers.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Nevinnomyssk
    Nevinnomyssk is an industrial city in southwestern Russia known for its chemical and energy production sectors.
  • D. Kholmsk
    Kholmsk is a port town on the western coast of Sakhalin Island in Russia, serving as an important maritime transport hub in the Sea of Japan.
  • E. Kovel
    Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57760f4481908f69ce82be63d7f8 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda4577d0c8190a88cdf4523446329 completed March 20, 2026, 7:47 p.m.
NEDg Description generation batch_69bda8367b988190bd6859581ba9a38e completed March 20, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69bda8b4d064819083de58ee18458fa8 completed March 20, 2026, 8:06 p.m.
Created at: March 20, 2026, 1:03 p.m.