Triple

T12698039
Position Surface form Disambiguated ID Type / Status
Subject Udege language E303386 entity
Predicate hasAlternativeName P39 FINISHED
Object Udekhe
Udekhe is an alternative name for the Udege language, a Tungusic language spoken by the Udege people in the Russian Far East.
E997590 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: Udekhe | Statement: [Udege language, hasAlternativeName, Udekhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udekhe
Context triple: [Udege language, hasAlternativeName, Udekhe]
  • A. Esigodini
    Esigodini is a small town in southwestern Zimbabwe known for its agricultural surroundings and role as a local service and transport hub.
  • B. Ukunda
    Ukunda is a coastal town in Kenya near Diani Beach, known as a popular tourist destination with a small airstrip serving regional flights.
  • C. Ngundu
    Ngundu is a small settlement in southern Zimbabwe that serves as a roadside stop and trading center along major routes between Harare and Beitbridge.
  • D. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • E. Rumuibekwe
    Rumuibekwe is a prominent residential and commercial town within Obio-Akpor Local Government Area in Rivers State, Nigeria.
  • 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: Udekhe
Triple: [Udege language, hasAlternativeName, Udekhe]
Generated description
Udekhe is an alternative name for the Udege language, a Tungusic language spoken by the Udege people in the Russian Far East.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Udekhe
Target entity description: Udekhe is an alternative name for the Udege language, a Tungusic language spoken by the Udege people in the Russian Far East.
  • A. Esigodini
    Esigodini is a small town in southwestern Zimbabwe known for its agricultural surroundings and role as a local service and transport hub.
  • B. Ukunda
    Ukunda is a coastal town in Kenya near Diani Beach, known as a popular tourist destination with a small airstrip serving regional flights.
  • C. Ngundu
    Ngundu is a small settlement in southern Zimbabwe that serves as a roadside stop and trading center along major routes between Harare and Beitbridge.
  • D. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • E. Rumuibekwe
    Rumuibekwe is a prominent residential and commercial town within Obio-Akpor Local Government Area in Rivers State, Nigeria.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ed26588190ae76ff17159e06ec completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b066348190aedfe186fc4724f9 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f672d16f8881908c6d5cfed0b3ec3a completed May 2, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_69f67396fdac8190970068b2c39ad2f7 completed May 2, 2026, 9:58 p.m.
Created at: April 9, 2026, 5:22 p.m.