Triple

T20834663
Position Surface form Disambiguated ID Type / Status
Subject Segeju E512927 entity
Predicate hasAlternativeName P39 FINISHED
Object Kisegeju
Kisegeju is an alternative name for the Segeju, an ethnic group found primarily in parts of Kenya and Tanzania.
 E1452008 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: Kisegeju | Statement: [Segeju, hasAlternativeName, Kisegeju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kisegeju
Context triple: [Segeju, hasAlternativeName, Kisegeju]
  • A. Kisoji
    Kisoji is an old post road in Japan that formed part of the Nakasendō route, linking a series of historic post towns through the Kiso Valley.
  • B. Kgoshi
    Kgoshi is a traditional royal title used for a king or paramount chief among the Bapedi people of South Africa.
  • C. Nishiizu
    Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
  • D. Nichigei
    Nichigei is the commonly used abbreviated name for the Nihon University College of Art, a prominent art and design faculty in Japan.
  • E. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • 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: Kisegeju
Triple: [Segeju, hasAlternativeName, Kisegeju]
Generated description
Kisegeju is an alternative name for the Segeju, an ethnic group found primarily in parts of Kenya and Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kisegeju
Target entity description: Kisegeju is an alternative name for the Segeju, an ethnic group found primarily in parts of Kenya and Tanzania.
  • A. Kisoji
    Kisoji is an old post road in Japan that formed part of the Nakasendō route, linking a series of historic post towns through the Kiso Valley.
  • B. Kgoshi
    Kgoshi is a traditional royal title used for a king or paramount chief among the Bapedi people of South Africa.
  • C. Nishiizu
    Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
  • D. Nichigei
    Nichigei is the commonly used abbreviated name for the Nihon University College of Art, a prominent art and design faculty in Japan.
  • E. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32622c481908b8d2159bd5bb0ad completed April 21, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090084a1c481909a344ee40d846b10 completed May 16, 2026, 11:40 p.m.
NEDg Description generation batch_6a0900fd590c8190b42faa5c5191189a completed May 16, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_6a0901950c1c8190befa72dc20236b9e completed May 16, 2026, 11:45 p.m.
Created at: April 16, 2026, 12:42 p.m.