Triple

T18714419
Position Surface form Disambiguated ID Type / Status
Subject Терек E457597 entity
Predicate hasTributary P415 FINISHED
Object Урух
Урух — это река на Северном Кавказе, протекающая по территории России и впадающая в Терек.
 E1338696 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: Урух | Statement: [Терек, hasTributary, Урух]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Урух
Context triple: [Терек, hasTributary, Урух]
  • A. Uryzmag
    Uryzmag is a prominent hero and patriarchal figure in the Ossetian Nart sagas, often portrayed as a wise and authoritative leader of the Narts.
  • B. Urausu
    Urausu is a small town located in Hokkaido, Japan, known for its rural character and agricultural surroundings.
  • C. Ukaan
    Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
  • D. Unrug
    Unrug is a Polish noble surname most notably associated with Józef Unrug, a distinguished Polish Navy admiral and World War II commander.
  • E. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • 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: Урух
Triple: [Терек, hasTributary, Урух]
Generated description
Урух — это река на Северном Кавказе, протекающая по территории России и впадающая в Терек.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Урух
Target entity description: Урух — это река на Северном Кавказе, протекающая по территории России и впадающая в Терек.
  • A. Uryzmag
    Uryzmag is a prominent hero and patriarchal figure in the Ossetian Nart sagas, often portrayed as a wise and authoritative leader of the Narts.
  • B. Urausu
    Urausu is a small town located in Hokkaido, Japan, known for its rural character and agricultural surroundings.
  • C. Ukaan
    Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
  • D. Unrug
    Unrug is a Polish noble surname most notably associated with Józef Unrug, a distinguished Polish Navy admiral and World War II commander.
  • E. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab4ee6881908f19558937cbb078 completed April 19, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b413d348190b34e236d44fb541a completed May 14, 2026, 1:54 a.m.
NEDg Description generation batch_6a052c40cd04819096757952a275ddcf completed May 14, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a052d1122ac819081c664d90d784a82 completed May 14, 2026, 2:01 a.m.
Created at: April 10, 2026, 11:50 a.m.