Triple

T3258814
Position Surface form Disambiguated ID Type / Status
Subject Berom language E68361 entity
Predicate hasDialect P4251 FINISHED
Object Gyel dialect
The Gyel dialect is a regional variety of the Berom language spoken by the Berom people of central Nigeria.
E341606 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: Gyel dialect | Statement: [Berom language, hasDialect, Gyel dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gyel dialect
Context triple: [Berom language, hasDialect, Gyel dialect]
  • A. Dholuo
    Dholuo is a Nilotic language spoken primarily by the Luo people of western Kenya and parts of Tanzania.
  • B. Nyima languages
    The Nyima languages are a small group of closely related, lesser-known languages spoken by the Nyimang (Ama) people in the Nuba Mountains of Sudan.
  • C. Qochanis dialect
    The Qochanis dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Qochanis (Konak) area in southeastern Turkey.
  • D. Tyari dialect
    The Tyari dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Tyari region in the Hakkari mountains.
  • E. Majhi dialect
    The Majhi dialect is a central variety of Punjabi regarded as the prestige form of the language and commonly used as its standard in media and literature.
  • 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: Gyel dialect
Triple: [Berom language, hasDialect, Gyel dialect]
Generated description
The Gyel dialect is a regional variety of the Berom language spoken by the Berom people of central Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gyel dialect
Target entity description: The Gyel dialect is a regional variety of the Berom language spoken by the Berom people of central Nigeria.
  • A. Dholuo
    Dholuo is a Nilotic language spoken primarily by the Luo people of western Kenya and parts of Tanzania.
  • B. Nyima languages
    The Nyima languages are a small group of closely related, lesser-known languages spoken by the Nyimang (Ama) people in the Nuba Mountains of Sudan.
  • C. Qochanis dialect
    The Qochanis dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Qochanis (Konak) area in southeastern Turkey.
  • D. Tyari dialect
    The Tyari dialect is a regional variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities from the Tyari region in the Hakkari mountains.
  • E. Majhi dialect
    The Majhi dialect is a central variety of Punjabi regarded as the prestige form of the language and commonly used as its standard in media and literature.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adafa4f40c81909adfd0f7f568e3ce completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ed941cc81909c35853e793d6ce5 completed March 12, 2026, 10 a.m.
NEDg Description generation batch_69b2900805d08190afbda5ee5e984b71 completed March 12, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69b2ac4c52d48190a87b1e535c2e8a37 completed March 12, 2026, 12:06 p.m.
Created at: March 8, 2026, 3:09 p.m.