Triple

T12401182
Position Surface form Disambiguated ID Type / Status
Subject Igboid languages E296255 entity
Predicate containsLanguage P2177 FINISHED
Object Izzi language
The Izzi language is a Niger-Congo language spoken primarily by the Izzi subgroup of the Igbo people in southeastern Nigeria.
 E982216 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: Izzi language | Statement: [Igboid languages, containsLanguage, Izzi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Izzi language
Context triple: [Igboid languages, containsLanguage, Izzi language]
  • A. Zaiwa language
    The Zaiwa language is a Tibeto-Burman language spoken primarily by the Zaiwa people in parts of Yunnan, China and northern Myanmar.
  • B. Izon language
    The Izon language is a major Niger-Congo language spoken primarily by the Ijaw people of the Niger Delta region in southern Nigeria.
  • C. Zigula language
    The Zigula language is a Bantu language spoken primarily by the Zigula people of northeastern Tanzania and parts of Somalia.
  • D. Vinza language
    The Vinza language is a Bantu language spoken by the Vinza people of Tanzania, closely related to neighboring languages in the region.
  • E. Zay language
    Zay language is a South Ethiopic Semitic language spoken by the Zay people on islands and shores of Lake Zway in Ethiopia.
  • 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: Izzi language
Triple: [Igboid languages, containsLanguage, Izzi language]
Generated description
The Izzi language is a Niger-Congo language spoken primarily by the Izzi subgroup of the Igbo people in southeastern Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Izzi language
Target entity description: The Izzi language is a Niger-Congo language spoken primarily by the Izzi subgroup of the Igbo people in southeastern Nigeria.
  • A. Zaiwa language
    The Zaiwa language is a Tibeto-Burman language spoken primarily by the Zaiwa people in parts of Yunnan, China and northern Myanmar.
  • B. Izon language
    The Izon language is a major Niger-Congo language spoken primarily by the Ijaw people of the Niger Delta region in southern Nigeria.
  • C. Zigula language
    The Zigula language is a Bantu language spoken primarily by the Zigula people of northeastern Tanzania and parts of Somalia.
  • D. Vinza language
    The Vinza language is a Bantu language spoken by the Vinza people of Tanzania, closely related to neighboring languages in the region.
  • E. Zay language
    Zay language is a South Ethiopic Semitic language spoken by the Zay people on islands and shores of Lake Zway in Ethiopia.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d46007c81908e0f4b590402bf58 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63482af8c8190b277b36371979f5e completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f636cf7d808190bf3c1c84bdaf414e completed May 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69f638050d2481909d25d5d718353cd5 completed May 2, 2026, 5:44 p.m.
Created at: April 8, 2026, 9:55 p.m.