Triple

T6918054
Position Surface form Disambiguated ID Type / Status
Subject Sulak River E160113 entity
Predicate sourceConfluenceOf P409 FINISHED
Object Avar Koysu
Avar Koysu is a mountain river in Dagestan, Russia, that forms one of the main headwaters of the Sulak River as it flows through the Caucasus.
 E629747 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: Avar Koysu | Statement: [Sulak River, sourceConfluenceOf, Avar Koysu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avar Koysu
Context triple: [Sulak River, sourceConfluenceOf, Avar Koysu]
  • A. Nebo
    Nebo is an ancient city located in the biblical region of Moab, often associated with nearby Mount Nebo east of the Jordan River.
  • B. Urana
    Urana is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and historic country character.
  • C. Hodr
    Hodr is a blind god in Norse mythology, best known for being tricked into killing his brother Baldr.
  • D. Kalach-na-Donu
    Kalach-na-Donu is a town in Volgograd Oblast, Russia, historically significant as a World War II battleground and located near the strategic waterway linking the Volga and Don rivers.
  • E. Mór
    Mór is a town in central Hungary known for its wine production and location between the Vértes and Bakony hills.
  • 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: Avar Koysu
Triple: [Sulak River, sourceConfluenceOf, Avar Koysu]
Generated description
Avar Koysu is a mountain river in Dagestan, Russia, that forms one of the main headwaters of the Sulak River as it flows through the Caucasus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avar Koysu
Target entity description: Avar Koysu is a mountain river in Dagestan, Russia, that forms one of the main headwaters of the Sulak River as it flows through the Caucasus.
  • A. Nebo
    Nebo is an ancient city located in the biblical region of Moab, often associated with nearby Mount Nebo east of the Jordan River.
  • B. Urana
    Urana is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and historic country character.
  • C. Hodr
    Hodr is a blind god in Norse mythology, best known for being tricked into killing his brother Baldr.
  • D. Kalach-na-Donu
    Kalach-na-Donu is a town in Volgograd Oblast, Russia, historically significant as a World War II battleground and located near the strategic waterway linking the Volga and Don rivers.
  • E. Mór
    Mór is a town in central Hungary known for its wine production and location between the Vértes and Bakony hills.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e17ea08190b8c4142af8adfba0 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7512b39b081908370c43ed3d65829 completed March 28, 2026, 3:55 a.m.
NEDg Description generation batch_69c7523737e48190b2ad3e7bea02878d completed March 28, 2026, 3:59 a.m.
NED2 Entity disambiguation (via description) batch_69c752eb3e1c8190bad35727e573c41f completed March 28, 2026, 4:02 a.m.
Created at: March 27, 2026, 2:26 p.m.