Triple

T12658114
Position Surface form Disambiguated ID Type / Status
Subject Evenki language E302341 entity
Predicate hasAlternativeName P39 FINISHED
Object Tungus
Tungus is an older term historically used to refer to the Evenki people and their language of Siberia.
E999823 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: Tungus | Statement: [Evenki language, hasAlternativeName, Tungus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tungus
Context triple: [Evenki language, hasAlternativeName, Tungus]
  • A. Tunguska River
    The Tunguska River is a river in the Russian Far East that flows through the sparsely populated taiga landscapes of Khabarovsk Krai before joining larger regional waterways.
  • B. Yakut
    Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • C. Ozyornaya
    Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
  • 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. Avacha River
    The Avacha River is a major river in Russia’s Far East that flows through the Kamchatka Peninsula to the Pacific Ocean, playing an important role in the region’s ecology and settlement.
  • 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: Tungus
Triple: [Evenki language, hasAlternativeName, Tungus]
Generated description
Tungus is an older term historically used to refer to the Evenki people and their language of Siberia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tungus
Target entity description: Tungus is an older term historically used to refer to the Evenki people and their language of Siberia.
  • A. Tunguska River
    The Tunguska River is a river in the Russian Far East that flows through the sparsely populated taiga landscapes of Khabarovsk Krai before joining larger regional waterways.
  • B. Yakut
    Yakut is a Turkic language spoken primarily in the Sakha Republic (Yakutia) in northeastern Siberia, Russia.
  • C. Ozyornaya
    Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
  • 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. Avacha River
    The Avacha River is a major river in Russia’s Far East that flows through the Kamchatka Peninsula to the Pacific Ocean, playing an important role in the region’s ecology and settlement.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961636db8819099c438b24bcfd866 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c730b5c8190ae8dbb476e53729e completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67de172088190b055ace0fdcfd1fd completed May 2, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f67ed2eac88190938747d2c75bae86 completed May 2, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:19 p.m.