Triple

T16240491
Position Surface form Disambiguated ID Type / Status
Subject Nyamiha River E394229 entity
Predicate nameInRussian P20560 FINISHED
Object Немига
Немига — это небольшая река в Минске, ныне в основном заключённая в подземный коллектор и давшая название одноимённому району и станции метро.
 E1202265 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: Немига | Statement: [Nyamiha River, nameInRussian, Немига]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Немига
Context triple: [Nyamiha River, nameInRussian, Немига]
  • A. Nichigei
    Nichigei is the commonly used abbreviated name for the Nihon University College of Art, a prominent art and design faculty in Japan.
  • B. Nishiizu
    Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
  • C. Nakanamanga
    Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
  • D. Nakoruru
    Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
  • E. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • 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: Немига
Triple: [Nyamiha River, nameInRussian, Немига]
Generated description
Немига — это небольшая река в Минске, ныне в основном заключённая в подземный коллектор и давшая название одноимённому району и станции метро.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Немига
Target entity description: Немига — это небольшая река в Минске, ныне в основном заключённая в подземный коллектор и давшая название одноимённому району и станции метро.
  • A. Nichigei
    Nichigei is the commonly used abbreviated name for the Nihon University College of Art, a prominent art and design faculty in Japan.
  • B. Nishiizu
    Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
  • C. Nakanamanga
    Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
  • D. Nakoruru
    Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
  • E. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455e1ce08190b97e2ab3e8c6d535 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000edd1ed08190aa0211c3b17a918e completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a00108fdda88190bf510d04f4cc73f1 completed May 10, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0011559b748190ad406263889514a4 completed May 10, 2026, 5:02 a.m.
Created at: April 10, 2026, 5:04 a.m.