Triple

T9203942
Position Surface form Disambiguated ID Type / Status
Subject Khatanga River E220921 entity
Predicate hasPort P35 FINISHED
Object Khatanga
Khatanga is a remote Arctic port settlement in northern Siberia, Russia, serving as a key access point to the Laptev Sea and surrounding tundra regions.
E786775 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: Khatanga | Statement: [Khatanga River, hasPort, Khatanga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khatanga
Context triple: [Khatanga River, hasPort, Khatanga]
  • A. Khatanga River
    The Khatanga River is a major river in northern Siberia that flows through the Krasnoyarsk Krai region of Russia before emptying into the Arctic Ocean.
  • B. Yelshanka
    Yelshanka is a locality in Russia best known as the namesake of Yelshanka railway station.
  • C. Yakut
    Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • D. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • E. Aka-Kol
    Aka-Kol is an extinct Great Andamanese language once spoken by the indigenous Kol people of the Andaman Islands in India.
  • 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: Khatanga
Triple: [Khatanga River, hasPort, Khatanga]
Generated description
Khatanga is a remote Arctic port settlement in northern Siberia, Russia, serving as a key access point to the Laptev Sea and surrounding tundra regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Khatanga
Target entity description: Khatanga is a remote Arctic port settlement in northern Siberia, Russia, serving as a key access point to the Laptev Sea and surrounding tundra regions.
  • A. Khatanga River
    The Khatanga River is a major river in northern Siberia that flows through the Krasnoyarsk Krai region of Russia before emptying into the Arctic Ocean.
  • B. Yelshanka
    Yelshanka is a locality in Russia best known as the namesake of Yelshanka railway station.
  • C. Yakut
    Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • D. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • E. Aka-Kol
    Aka-Kol is an extinct Great Andamanese language once spoken by the indigenous Kol people of the Andaman Islands in India.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd944e6208190adfcc7f75197387d completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077808ee48190be6b58a4b38f3e3d completed April 4, 2026, 2:29 a.m.
NEDg Description generation batch_69d0782d305481909a2b41615e890863 completed April 4, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69d0789ef4288190bf4d52e7ed47bd9b completed April 4, 2026, 2:34 a.m.
Created at: March 30, 2026, 7:26 p.m.