Triple

T16418158
Position Surface form Disambiguated ID Type / Status
Subject Mara Region E398740 entity
Predicate ethnicGroup P194 FINISHED
Object Ikoma
The Ikoma are an indigenous ethnic group of northern Tanzania known for their distinct language and traditional livelihoods near Serengeti National Park.
 E1515889 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: Ikoma | Statement: [Mara Region, ethnicGroup, Ikoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ikoma
Context triple: [Mara Region, ethnicGroup, Ikoma]
  • A. Ikoma
    Ikoma is a city in Japan known for its scenic setting on the slopes of Mount Ikoma and its role as a residential and commuter hub near Osaka and Nara.
  • B. Ogimachi
    Ogimachi is a historic Japanese mountain village in the Shirakawa-go region, renowned for its traditional gassho-zukuri farmhouses and UNESCO World Heritage status.
  • C. Daito
    Daito is a skilled Japanese gunter and close ally of Aech in Ernest Cline’s science fiction novel "Ready Player One."
  • D. Shikaoi
    Shikaoi is a rural town in Hokkaido, Japan, known for its natural scenery, agriculture, and access to outdoor activities such as hiking and hot springs.
  • E. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • 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: Ikoma
Triple: [Mara Region, ethnicGroup, Ikoma]
Generated description
The Ikoma are an indigenous ethnic group of northern Tanzania known for their distinct language and traditional livelihoods near Serengeti National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ikoma
Target entity description: The Ikoma are an indigenous ethnic group of northern Tanzania known for their distinct language and traditional livelihoods near Serengeti National Park.
  • A. Ikoma
    Ikoma is a city in Japan known for its scenic setting on the slopes of Mount Ikoma and its role as a residential and commuter hub near Osaka and Nara.
  • B. Ogimachi
    Ogimachi is a historic Japanese mountain village in the Shirakawa-go region, renowned for its traditional gassho-zukuri farmhouses and UNESCO World Heritage status.
  • C. Daito
    Daito is a skilled Japanese gunter and close ally of Aech in Ernest Cline’s science fiction novel "Ready Player One."
  • D. Shikaoi
    Shikaoi is a rural town in Hokkaido, Japan, known for its natural scenery, agriculture, and access to outdoor activities such as hiking and hot springs.
  • E. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328798a488190a5fad01c3c95584c completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b52a8208190973e38f7d4b0f684 completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7c6453908190a745827da3bc3037 completed May 18, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7ce3c684819090b25ca1e7596722 completed May 18, 2026, 2:43 a.m.
Created at: April 10, 2026, 5:09 a.m.