Triple

T12138439
Position Surface form Disambiguated ID Type / Status
Subject Oko languages E289120 entity
Predicate glottologName P6521 FINISHED
Object Oko-Idesa-Uro
Oko-Idesa-Uro is a Niger-Congo language variety within the Oko language cluster spoken by communities in central Nigeria.
 E968200 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: Oko-Idesa-Uro | Statement: [Oko languages, glottologName, Oko-Idesa-Uro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oko-Idesa-Uro
Context triple: [Oko languages, glottologName, Oko-Idesa-Uro]
  • A. Oko
    Oko is a town located within Aniocha South Local Government Area in Delta State, southern Nigeria.
  • B. Idoumaia
    Idoumaia is the ancient Greek name for Idumea, a historical region south of Judea inhabited by the Edomites and later incorporated into the Hasmonean and Roman realms.
  • C. Idziak
    Idziak is a Polish surname most notably borne by acclaimed cinematographer Sławomir Idziak.
  • D. Ubulu-Uku
    Ubulu-Uku is a town in Delta State, Nigeria, known as one of the traditional Igbo communities within the Aniocha region.
  • E. Urakhi
    Urakhi is a dialect of the Dargin language spoken by a subset of the Dargin people in the North Caucasus region of Russia.
  • 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: Oko-Idesa-Uro
Triple: [Oko languages, glottologName, Oko-Idesa-Uro]
Generated description
Oko-Idesa-Uro is a Niger-Congo language variety within the Oko language cluster spoken by communities in central Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oko-Idesa-Uro
Target entity description: Oko-Idesa-Uro is a Niger-Congo language variety within the Oko language cluster spoken by communities in central Nigeria.
  • A. Otor-Udu
    Otor-Udu is a town in Delta State, Nigeria, serving as the administrative headquarters of Udu Local Government Area.
  • B. Oko
    Oko is a town located within Aniocha South Local Government Area in Delta State, southern Nigeria.
  • C. Idoumaia
    Idoumaia is the ancient Greek name for Idumea, a historical region south of Judea inhabited by the Edomites and later incorporated into the Hasmonean and Roman realms.
  • D. Idziak
    Idziak is a Polish surname most notably borne by acclaimed cinematographer Sławomir Idziak.
  • E. Ubulu-Uku
    Ubulu-Uku is a town in Delta State, Nigeria, known as one of the traditional Igbo communities within the Aniocha region.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158eef48819083bdce283a363414 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f690ae408190966bb4fe8feaa7d2 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6022ecf38819080f0eb6a3a815c5b completed May 2, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69f606560934819092ba4d4fa162b799 completed May 2, 2026, 2:12 p.m.
Created at: April 8, 2026, 9:49 p.m.