Triple

T9502321
Position Surface form Disambiguated ID Type / Status
Subject Saharan languages E229173 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Tumari language
The Tumari language is a lesser-known Saharan language spoken by communities in parts of the central Sahara region of Africa.
 E803594 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: Tumari language | Statement: [Saharan languages, hasMemberLanguage, Tumari language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tumari language
Context triple: [Saharan languages, hasMemberLanguage, Tumari language]
  • A. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • B. Tindi language
    The Tindi language is a Northeast Caucasian language spoken by the Tindi people in Dagestan, Russia, known for its complex grammar and limited number of speakers.
  • 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. Toundanow language
    The Toundanow language is an Austronesian language spoken by the Tonsawang people of northern Sulawesi, Indonesia.
  • E. Rarámuri language
    The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
  • 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: Tumari language
Triple: [Saharan languages, hasMemberLanguage, Tumari language]
Generated description
The Tumari language is a lesser-known Saharan language spoken by communities in parts of the central Sahara region of Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tumari language
Target entity description: The Tumari language is a lesser-known Saharan language spoken by communities in parts of the central Sahara region of Africa.
  • A. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • B. Tindi language
    The Tindi language is a Northeast Caucasian language spoken by the Tindi people in Dagestan, Russia, known for its complex grammar and limited number of speakers.
  • 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. Toundanow language
    The Toundanow language is an Austronesian language spoken by the Tonsawang people of northern Sulawesi, Indonesia.
  • E. Rarámuri language
    The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983ea6048190a2d7924c8e6d1fbc completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a10f7b08190b8e4d4bc3b9815c6 completed April 4, 2026, 4:19 p.m.
NEDg Description generation batch_69d13af4a2d481908dbec71fa8c25c69 completed April 4, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_69d13bb706a88190bc2eec00c3e52e94 completed April 4, 2026, 4:26 p.m.
Created at: March 30, 2026, 7:57 p.m.