Triple

T12111000
Position Surface form Disambiguated ID Type / Status
Subject Ogoni languages E288428 entity
Predicate hasPart P35 FINISHED
Object Khana language
The Khana language is a Niger-Congo language spoken primarily by the Ogoni people in Rivers State, Nigeria.
 E966137 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: Khana language | Statement: [Ogoni languages, hasPart, Khana language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khana language
Context triple: [Ogoni languages, hasPart, Khana language]
  • A. Hwana language
    The Hwana language is a lesser-known Bena–Mboi language spoken by a small ethnic community in Nigeria.
  • B. Kaxabu language
    The Kaxabu language is an indigenous Formosan language of Taiwan spoken by the Kaxabu people and considered highly endangered.
  • C. Kharia language
    Kharia language is a Munda language spoken primarily by the Kharia people in eastern India, especially in the states of Jharkhand, Odisha, and Chhattisgarh.
  • D. Khitan language
    The Khitan language was the now-extinct tongue of the Khitan people of Northeast Asia, written in unique scripts and used by the ruling elite of the Liao dynasty.
  • E. Hani language
    The Hani language is a Tibeto-Burman language spoken primarily by the Hani people in southwestern China and neighboring regions of Southeast Asia.
  • 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: Khana language
Triple: [Ogoni languages, hasPart, Khana language]
Generated description
The Khana language is a Niger-Congo language spoken primarily by the Ogoni people in Rivers State, Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khana language
Target entity description: The Khana language is a Niger-Congo language spoken primarily by the Ogoni people in Rivers State, Nigeria.
  • A. Hwana language
    The Hwana language is a lesser-known Bena–Mboi language spoken by a small ethnic community in Nigeria.
  • B. Kaxabu language
    The Kaxabu language is an indigenous Formosan language of Taiwan spoken by the Kaxabu people and considered highly endangered.
  • C. Kharia language
    Kharia language is a Munda language spoken primarily by the Kharia people in eastern India, especially in the states of Jharkhand, Odisha, and Chhattisgarh.
  • D. Khitan language
    The Khitan language was the now-extinct tongue of the Khitan people of Northeast Asia, written in unique scripts and used by the ruling elite of the Liao dynasty.
  • E. Hani language
    The Hani language is a Tibeto-Burman language spoken primarily by the Hani people in southwestern China and neighboring regions of Southeast Asia.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156709288190b4684cb19037dc38 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67d58d08190be45fb49f0084b49 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b6769481909d0308c8f77b2ef3 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601ef0a9c8190ac922562a8856def completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:49 p.m.