Triple

T1987728
Position Surface form Disambiguated ID Type / Status
Subject West Chadic E43179 entity
Predicate hasMajorLanguage P207 FINISHED
Object Tangale
Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
 E222778 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: Tangale | Statement: [West Chadic, hasMajorLanguage, Tangale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tangale
Context triple: [West Chadic, hasMajorLanguage, Tangale]
  • A. Karanga
    Karanga is a major dialect of the Shona language spoken primarily in southern Zimbabwe, known for its distinct phonological and lexical features.
  • B. Ronga
    Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
  • C. Vangunu
    Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
  • D. Tilantongo
    Tilantongo was a prominent pre-Columbian Mixtec city-state in present-day Oaxaca, Mexico, known as a political and cultural hub of the Mixtec civilization.
  • E. Tongaat
    Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
  • 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: Tangale
Triple: [West Chadic, hasMajorLanguage, Tangale]
Generated description
Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tangale
Target entity description: Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
  • A. Karanga
    Karanga is a major dialect of the Shona language spoken primarily in southern Zimbabwe, known for its distinct phonological and lexical features.
  • B. Ronga
    Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
  • C. Vangunu
    Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
  • D. Tilantongo
    Tilantongo was a prominent pre-Columbian Mixtec city-state in present-day Oaxaca, Mexico, known as a political and cultural hub of the Mixtec civilization.
  • E. Tongaat
    Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb840a5708190a9b64564b855fb22 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae033410a88190bac79032a012549a completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae03e6239881909144a41a7ef96941 completed March 8, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69ae0452e188819099de641a9afcd04c completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:37 p.m.