Triple

T2167215
Position Surface form Disambiguated ID Type / Status
Subject Don E46936 entity
Predicate tributary P415 FINISHED
Object Manych
Manych is a river in southern Russia that flows through the steppe regions and connects the basins of the Don and the Caspian Sea.
E239134 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: Manych | Statement: [Don, tributary, Manych]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manych
Context triple: [Don, tributary, Manych]
  • A. Aldan
    Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
  • B. Nadym
    Nadym is a town in the Yamalo-Nenets Autonomous Okrug of Russia, known as a regional center for the natural gas industry and served by its own airport.
  • C. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • D. Mytishchi
    Mytishchi is a city in western Russia that serves as a major suburban and industrial center just northeast of Moscow.
  • E. Maaskant
    Maaskant is a Dutch surname most notably associated with architect Hugh Aart (H.A.) Maaskant, known for his influential post-war modernist buildings in the Netherlands.
  • 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: Manych
Triple: [Don, tributary, Manych]
Generated description
Manych is a river in southern Russia that flows through the steppe regions and connects the basins of the Don and the Caspian Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Manych
Target entity description: Manych is a river in southern Russia that flows through the steppe regions and connects the basins of the Don and the Caspian Sea.
  • A. Aldan
    Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
  • B. Nadym
    Nadym is a town in the Yamalo-Nenets Autonomous Okrug of Russia, known as a regional center for the natural gas industry and served by its own airport.
  • C. Nain
    Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
  • D. Mytishchi
    Mytishchi is a city in western Russia that serves as a major suburban and industrial center just northeast of Moscow.
  • E. Maaskant
    Maaskant is a Dutch surname most notably associated with architect Hugh Aart (H.A.) Maaskant, known for his influential post-war modernist buildings in the Netherlands.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeac9d688190bfa68715e173771e completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f044b8819092c58022383d3468 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae5972d3d4819082f8896f12126422 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a12f11c81908cc345905f0a485e completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:45 p.m.