Triple

T9081717
Position Surface form Disambiguated ID Type / Status
Subject Pur River E217642 entity
Predicate hasNameInRussian P20560 FINISHED
Object Пур
Пур — это река в Западной Сибири России, протекающая по Ямало-Ненецкому автономному округу и впадающая в Тазовскую губу Карского моря.
 E776408 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: Пур | Statement: [Pur River, hasNameInRussian, Пур]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Пур
Context triple: [Pur River, hasNameInRussian, Пур]
  • A. Poá
    Poá is a municipality in the eastern part of the São Paulo metropolitan region in Brazil, known for its residential character and proximity to the capital city.
  • B. Porul
    Porul is the second section of the ancient Tamil classic Tirukkural, focusing on ethics, governance, politics, and social conduct.
  • C. Punan
    The Punan are an indigenous Dayak people of Borneo traditionally known as semi-nomadic hunter-gatherers of the island’s interior rainforests.
  • D. Piro
    Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
  • E. Piro
    Piro is an alternate name for the Yine language, an indigenous Arawakan language spoken in Peru.
  • 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: Пур
Triple: [Pur River, hasNameInRussian, Пур]
Generated description
Пур — это река в Западной Сибири России, протекающая по Ямало-Ненецкому автономному округу и впадающая в Тазовскую губу Карского моря.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Пур
Target entity description: Пур — это река в Западной Сибири России, протекающая по Ямало-Ненецкому автономному округу и впадающая в Тазовскую губу Карского моря.
  • A. Poá
    Poá is a municipality in the eastern part of the São Paulo metropolitan region in Brazil, known for its residential character and proximity to the capital city.
  • B. Porul
    Porul is the second section of the ancient Tamil classic Tirukkural, focusing on ethics, governance, politics, and social conduct.
  • C. Punan
    The Punan are an indigenous Dayak people of Borneo traditionally known as semi-nomadic hunter-gatherers of the island’s interior rainforests.
  • D. Piro
    Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
  • E. Piro
    Piro is an alternate name for the Yine language, an indigenous Arawakan language spoken in Peru.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9608a82481908918821884ba5796 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe28ae548190924cc7bbf453f3f3 completed April 3, 2026, 5:51 p.m.
NEDg Description generation batch_69d000d4a4548190939a9a9946be469b completed April 3, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_69d001b245f08190a8e5c53c570b20a0 completed April 3, 2026, 6:06 p.m.
Created at: March 30, 2026, 7:13 p.m.