Triple

T23368457
Position Surface form Disambiguated ID Type / Status
Subject Oroko E593391 entity
Predicate primaryLanguage P238 FINISHED
Object Oroko language
The Oroko language is a Bantu language spoken by the Oroko people of southwestern Cameroon, characterized by multiple dialects and rich noun class morphology.
 E1582753 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: Oroko language | Statement: [Oroko, primaryLanguage, Oroko language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oroko language
Context triple: [Oroko, primaryLanguage, Oroko language]
  • A. Oro language
    The Oro language is the traditional indigenous language spoken by the Oro people of Papua New Guinea.
  • B. Awori language
    Awori language is a dialect of the Yoruba language spoken primarily by the Awori people in southwestern Nigeria and parts of Benin.
  • C. Orok language
    The Orok language is a critically endangered Tungusic language spoken by the Orok (Uilta) people of Sakhalin Island in Russia.
  • D. Wayoró language
    The Wayoró language is an indigenous Tupian language spoken by the Wayoró people of the Brazilian Amazon.
  • E. Okwanuchu language
    The Okwanuchu language is an extinct Native American tongue once spoken in northern California, belonging to the Shastan family.
  • 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: Oroko language
Triple: [Oroko, primaryLanguage, Oroko language]
Generated description
The Oroko language is a Bantu language spoken by the Oroko people of southwestern Cameroon, characterized by multiple dialects and rich noun class morphology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oroko language
Target entity description: The Oroko language is a Bantu language spoken by the Oroko people of southwestern Cameroon, characterized by multiple dialects and rich noun class morphology.
  • A. Oro language
    The Oro language is the traditional indigenous language spoken by the Oro people of Papua New Guinea.
  • B. Awori language
    Awori language is a dialect of the Yoruba language spoken primarily by the Awori people in southwestern Nigeria and parts of Benin.
  • C. Orok language
    The Orok language is a critically endangered Tungusic language spoken by the Orok (Uilta) people of Sakhalin Island in Russia.
  • D. Wayoró language
    The Wayoró language is an indigenous Tupian language spoken by the Wayoró people of the Brazilian Amazon.
  • E. Okwanuchu language
    The Okwanuchu language is an extinct Native American tongue once spoken in northern California, belonging to the Shastan family.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aed374819097d38f51894bee44 completed April 29, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5ddbd8688190ba51358f22b8fb43 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5f90146c8190b5035747abcfdb6e completed May 19, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0c601b5d288190b5cf4f3e0c8cde15 completed May 19, 2026, 1:05 p.m.
Created at: April 17, 2026, 5:32 p.m.