Triple

T11792166
Position Surface form Disambiguated ID Type / Status
Subject East Central Sudanic languages E280413 entity
Predicate hasMember P10 FINISHED
Object Lokoya language
The Lokoya language is a Nilo-Saharan language spoken by the Lokoya people of South Sudan.
 E946860 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: Lokoya language | Statement: [East Central Sudanic languages, hasMember, Lokoya language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lokoya language
Context triple: [East Central Sudanic languages, hasMember, Lokoya language]
  • A. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • B. Yola language
    The Yola language was an extinct West Germanic language once spoken in County Wexford, Ireland, that preserved many archaic features derived from early English settlers.
  • C. Lobi language
    The Lobi language is a Gur language spoken primarily by the Lobi people in parts of Burkina Faso, Côte d’Ivoire, and Ghana.
  • D. Lamaholot language
    The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
  • E. Laka language
    Laka language is a lesser-known Adamawa–Ubangi language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • 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: Lokoya language
Triple: [East Central Sudanic languages, hasMember, Lokoya language]
Generated description
The Lokoya language is a Nilo-Saharan language spoken by the Lokoya people of South Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lokoya language
Target entity description: The Lokoya language is a Nilo-Saharan language spoken by the Lokoya people of South Sudan.
  • A. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • B. Yola language
    The Yola language was an extinct West Germanic language once spoken in County Wexford, Ireland, that preserved many archaic features derived from early English settlers.
  • C. Lobi language
    The Lobi language is a Gur language spoken primarily by the Lobi people in parts of Burkina Faso, Côte d’Ivoire, and Ghana.
  • D. Lamaholot language
    The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
  • E. Laka language
    Laka language is a lesser-known Adamawa–Ubangi language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a588d2c881909783c2d678c2a474 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09107fd2481908d765d2188035012 completed April 28, 2026, 10:50 a.m.
NEDg Description generation batch_69f0bd40108c8190863a60cf01cc7201 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef7e9f388190b33f6c16abadfde9 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.