Triple

T4866321
Position Surface form Disambiguated ID Type / Status
Subject Kunama E108778 entity
Predicate hasDialects P4251 FINISHED
Object Tika Kunama
Tika Kunama is a dialectal variety of the Kunama language spoken by segments of the Kunama people in the Horn of Africa.
E476912 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: Tika Kunama | Statement: [Kunama, hasDialects, Tika Kunama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tika Kunama
Context triple: [Kunama, hasDialects, Tika Kunama]
  • A. Ranu Kumbolo
    Ranu Kumbolo is a scenic high-altitude lake in East Java, Indonesia, popular as a rest and camping spot for hikers on the route to Mount Semeru.
  • B. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • C. Kali Ngrowo
    Kali Ngrowo is a significant river in East Java, Indonesia, known as one of the main waterways feeding the Brantas River system.
  • D. Kamsa
    Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
  • E. Simuka
    Simuka was the founder and one of the earliest known kings of the Satavahana dynasty in ancient India.
  • 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: Tika Kunama
Triple: [Kunama, hasDialects, Tika Kunama]
Generated description
Tika Kunama is a dialectal variety of the Kunama language spoken by segments of the Kunama people in the Horn of Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tika Kunama
Target entity description: Tika Kunama is a dialectal variety of the Kunama language spoken by segments of the Kunama people in the Horn of Africa.
  • A. Ranu Kumbolo
    Ranu Kumbolo is a scenic high-altitude lake in East Java, Indonesia, popular as a rest and camping spot for hikers on the route to Mount Semeru.
  • B. Kanuma
    Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
  • C. Kali Ngrowo
    Kali Ngrowo is a significant river in East Java, Indonesia, known as one of the main waterways feeding the Brantas River system.
  • D. Kamsa
    Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
  • E. Simuka
    Simuka was the founder and one of the earliest known kings of the Satavahana dynasty in ancient India.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d7a42f88190bb1ef7261bcbc2a8 completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67e5d96c8190b2a509d9fb81211a completed March 21, 2026, 9:41 a.m.
NEDg Description generation batch_69be693b36b08190a0de648f0c5bdc60 completed March 21, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69be69a16b0c8190b0a787bb54b31fc3 completed March 21, 2026, 9:49 a.m.
Created at: March 20, 2026, 1:26 p.m.