Triple

T7538429
Position Surface form Disambiguated ID Type / Status
Subject Gbaya languages E178209 entity
Predicate hasMember P10 FINISHED
Object Suma language
The Suma language is a lesser-known Gbaya language spoken by the Suma people in parts of Central Africa.
 E671932 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: Suma language | Statement: [Gbaya languages, hasMember, Suma language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suma language
Context triple: [Gbaya languages, hasMember, Suma language]
  • A. Sumi language
    Sumi language is a Sino-Tibetan language spoken primarily by the Sumi Naga people in the Indian state of Nagaland.
  • B. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • C. Khumi language
    The Khumi language is a lesser-known Tibeto-Burman language spoken primarily by the Khumi people in parts of Myanmar and neighboring regions.
  • D. Puyuma language
    The Puyuma language is an endangered Austronesian language spoken by the Puyuma Indigenous people of southeastern Taiwan.
  • E. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • 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: Suma language
Triple: [Gbaya languages, hasMember, Suma language]
Generated description
The Suma language is a lesser-known Gbaya language spoken by the Suma people in parts of Central Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suma language
Target entity description: The Suma language is a lesser-known Gbaya language spoken by the Suma people in parts of Central Africa.
  • A. Sumi language
    Sumi language is a Sino-Tibetan language spoken primarily by the Sumi Naga people in the Indian state of Nagaland.
  • B. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • C. Khumi language
    The Khumi language is a lesser-known Tibeto-Burman language spoken primarily by the Khumi people in parts of Myanmar and neighboring regions.
  • D. Puyuma language
    The Puyuma language is an endangered Austronesian language spoken by the Puyuma Indigenous people of southeastern Taiwan.
  • E. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8710400819088e430c8c550577e completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f14d20c8190ab254f991cec0d94 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c853ab496c8190ad35c7c00eb82160 completed March 28, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69c853f8e6808190bde26c01576cc22c completed March 28, 2026, 10:19 p.m.
Created at: March 27, 2026, 3:48 p.m.