Triple

T2534156
Position Surface form Disambiguated ID Type / Status
Subject Urhobo people E56229 entity
Predicate language P15 FINISHED
Object Urhobo language
The Urhobo language is a Niger-Congo language spoken primarily by the Urhobo people of southern Nigeria, especially in Delta State.
 E274579 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: Urhobo language | Statement: [Urhobo people, language, Urhobo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Urhobo language
Context triple: [Urhobo people, language, Urhobo language]
  • A. Ikposo language
    The Ikposo language is a Niger-Congo language spoken by the Akposso people of Togo and neighboring regions.
  • B. Ijaw languages
    Ijaw languages are a group of closely related Niger-Congo languages spoken primarily by the Ijaw people in the Niger Delta region of southern Nigeria.
  • C. Banda-Gbi language
    The Banda-Gbi language is a Central Sudanic language spoken by the Banda people of the Central African Republic and surrounding regions.
  • D. Banda-Ndélé language
    The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
  • E. Ewondo language
    Ewondo is a Bantu language spoken primarily in central Cameroon, notably around the capital Yaoundé, by the Ewondo (Yaoundé) people.
  • 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: Urhobo language
Triple: [Urhobo people, language, Urhobo language]
Generated description
The Urhobo language is a Niger-Congo language spoken primarily by the Urhobo people of southern Nigeria, especially in Delta State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Urhobo language
Target entity description: The Urhobo language is a Niger-Congo language spoken primarily by the Urhobo people of southern Nigeria, especially in Delta State.
  • A. Ikposo language
    The Ikposo language is a Niger-Congo language spoken by the Akposso people of Togo and neighboring regions.
  • B. Ijaw languages
    Ijaw languages are a group of closely related Niger-Congo languages spoken primarily by the Ijaw people in the Niger Delta region of southern Nigeria.
  • C. Banda-Gbi language
    The Banda-Gbi language is a Central Sudanic language spoken by the Banda people of the Central African Republic and surrounding regions.
  • D. Banda-Ndélé language
    The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
  • E. Ewondo language
    Ewondo is a Bantu language spoken primarily in central Cameroon, notably around the capital Yaoundé, by the Ewondo (Yaoundé) people.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd27afe7c8190984e10d3f3d5586b completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2bbc416c81908774782420b54664 completed March 9, 2026, 8:21 p.m.
NEDg Description generation batch_69af4c5e49dc8190920612a8b0f5b3f7 completed March 9, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69af4cd3bcc8819091589f0aa27ddc5d completed March 9, 2026, 10:42 p.m.
Created at: March 6, 2026, 9:47 p.m.