Triple

T6557965
Position Surface form Disambiguated ID Type / Status
Subject Mamfe languages E152498 entity
Predicate hasLanguage P15 FINISHED
Object Denya language
Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
 E602484 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: Denya language | Statement: [Mamfe languages, hasLanguage, Denya language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Denya language
Context triple: [Mamfe languages, hasLanguage, Denya language]
  • A. Damana language
    The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
  • B. Tsakhur language
    The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
  • C. Dolgan language
    The Dolgan language is a Turkic language spoken primarily by the Dolgan people of northern Siberia, particularly in Russia’s Taymyr Peninsula.
  • D. Kayeli language
    The Kayeli language is an Austronesian language once spoken on Buru Island in Indonesia, now critically endangered or possibly extinct.
  • E. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • 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: Denya language
Triple: [Mamfe languages, hasLanguage, Denya language]
Generated description
Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Denya language
Target entity description: Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
  • A. Damana language
    The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
  • B. Tsakhur language
    The Tsakhur language is a Northeast Caucasian language spoken primarily by the Tsakhur people in parts of Azerbaijan and Dagestan.
  • C. Dolgan language
    The Dolgan language is a Turkic language spoken primarily by the Dolgan people of northern Siberia, particularly in Russia’s Taymyr Peninsula.
  • D. Kayeli language
    The Kayeli language is an Austronesian language once spoken on Buru Island in Indonesia, now critically endangered or possibly extinct.
  • E. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1eb0888190a67b850ac2bca79c completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb8bae88819089cff70fa1101a39 completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd417d288190868e9709deb4b28a completed March 27, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce6be1f88190bc8b90bf90c6dc55 completed March 27, 2026, 6:37 p.m.
Created at: March 27, 2026, 1:52 p.m.