Triple

T11773202
Position Surface form Disambiguated ID Type / Status
Subject Kisolongo E279950 entity
Predicate hasAlternativeName P39 FINISHED
Object Solongo
Solongo is an alternative name for Kisolongo, a Bantu language spoken in parts of Central Africa.
 E945842 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: Solongo | Statement: [Kisolongo, hasAlternativeName, Solongo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Solongo
Context triple: [Kisolongo, hasAlternativeName, Solongo]
  • A. Sindo
    Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
  • B. Andoolo
    Andoolo is a small town that serves as an administrative center in the Indonesian province of Southeast Sulawesi.
  • C. Muanisolo
    Muanisolo is a village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
  • D. Losuia
    Losuia is a village and key settlement on Kiriwina Island in Papua New Guinea, serving as the main hub for administration and transport in the Trobriand Islands.
  • E. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • 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: Solongo
Triple: [Kisolongo, hasAlternativeName, Solongo]
Generated description
Solongo is an alternative name for Kisolongo, a Bantu language spoken in parts of Central Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Solongo
Target entity description: Solongo is an alternative name for Kisolongo, a Bantu language spoken in parts of Central Africa.
  • A. Sindo
    Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
  • B. Andoolo
    Andoolo is a small town that serves as an administrative center in the Indonesian province of Southeast Sulawesi.
  • C. Muanisolo
    Muanisolo is a village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
  • D. Losuia
    Losuia is a village and key settlement on Kiriwina Island in Papua New Guinea, serving as the main hub for administration and transport in the Trobriand Islands.
  • E. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55dfa088190a59b35d0247225e3 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0909969e481908d836f912b5af5bf completed April 28, 2026, 10:48 a.m.
NEDg Description generation batch_69f0bd3e585481908223acfd780a72a2 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef31076c8190b33a6a2778d7ffbb completed April 28, 2026, 5:32 p.m.
Created at: April 8, 2026, 9:41 p.m.