Triple

T1030767
Position Surface form Disambiguated ID Type / Status
Subject Kimvita E22244 entity
Predicate hasAlternativeName P39 FINISHED
Object Mvita
Mvita is an alternative name for Kimvita, a historic Swahili settlement and cultural center on the coast of present-day Kenya.
 E137377 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: Mvita | Statement: [Kimvita, hasAlternativeName, Mvita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mvita
Context triple: [Kimvita, hasAlternativeName, Mvita]
  • A. Imlil
    Imlil is a small mountain village in Morocco’s High Atlas that serves as the main gateway for trekkers heading to Mount Toubkal.
  • B. Wainganga
    Wainganga is a major river in central India that flows through the states of Madhya Pradesh and Maharashtra before joining other rivers on its way to the Godavari basin.
  • C. Kasulu
    Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
  • D. Lusiana
    Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
  • E. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • 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: Mvita
Triple: [Kimvita, hasAlternativeName, Mvita]
Generated description
Mvita is an alternative name for Kimvita, a historic Swahili settlement and cultural center on the coast of present-day Kenya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mvita
Target entity description: Mvita is an alternative name for Kimvita, a historic Swahili settlement and cultural center on the coast of present-day Kenya.
  • A. Imlil
    Imlil is a small mountain village in Morocco’s High Atlas that serves as the main gateway for trekkers heading to Mount Toubkal.
  • B. Wainganga
    Wainganga is a major river in central India that flows through the states of Madhya Pradesh and Maharashtra before joining other rivers on its way to the Godavari basin.
  • C. Kasulu
    Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
  • D. Lusiana
    Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
  • E. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b810429081908a97014ca740824b completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f29385c8190a42dc7dbac592221 completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7f69eb448190819e39ef62d0fd81 completed March 7, 2026, 7:41 p.m.
NED2 Entity disambiguation (via description) batch_69ac7fd648948190bc30a14b79bc6dca completed March 7, 2026, 7:43 p.m.
Created at: March 1, 2026, 7:41 p.m.