Triple

T10490260
Position Surface form Disambiguated ID Type / Status
Subject Nyangatom language E247397 entity
Predicate hasAlternativeName P39 FINISHED
Object Dongiro
Dongiro is an alternative name for the Nyangatom language, an Eastern Sudanic language spoken by the Nyangatom people of Ethiopia and South Sudan.
E867509 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: Dongiro | Statement: [Nyangatom language, hasAlternativeName, Dongiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongiro
Context triple: [Nyangatom language, hasAlternativeName, Dongiro]
  • A. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • B. Gorie
    Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
  • C. Dangamvura
    Dangamvura is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • D. Ogori
    Ogori is a small Japanese city located in Fukuoka Prefecture on the island of Kyushu.
  • E. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • 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: Dongiro
Triple: [Nyangatom language, hasAlternativeName, Dongiro]
Generated description
Dongiro is an alternative name for the Nyangatom language, an Eastern Sudanic language spoken by the Nyangatom people of Ethiopia and South Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dongiro
Target entity description: Dongiro is an alternative name for the Nyangatom language, an Eastern Sudanic language spoken by the Nyangatom people of Ethiopia and South Sudan.
  • A. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • B. Gorie
    Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
  • C. Dangamvura
    Dangamvura is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • D. Ogori
    Ogori is a small Japanese city located in Fukuoka Prefecture on the island of Kyushu.
  • E. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097d61e08190952d4354ef1bce52 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c81bdc8190b6b6dfe00025b514 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901ef24608190934377d9dc855d6f completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:23 p.m.