Triple

T2446269
Position Surface form Disambiguated ID Type / Status
Subject Gur languages E53600 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Gonja language
The Gonja language is a Gur language spoken primarily by the Gonja people in northern Ghana.
 E267649 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: Gonja language | Statement: [Gur languages, hasMemberLanguage, Gonja language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gonja language
Context triple: [Gur languages, hasMemberLanguage, Gonja language]
  • A. Guna language
    Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
  • B. Gondi language
    The Gondi language is a Dravidian language spoken by the indigenous Gond people of central India, written in multiple scripts including Telugu and Devanagari.
  • C. Bongo language
    The Bongo language is a Central Sudanic language spoken by the Bongo people of South Sudan.
  • D. Konjo language
    The Konjo language is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia, known for its distinct coastal and highland dialects.
  • E. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • 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: Gonja language
Triple: [Gur languages, hasMemberLanguage, Gonja language]
Generated description
The Gonja language is a Gur language spoken primarily by the Gonja people in northern Ghana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gonja language
Target entity description: The Gonja language is a Gur language spoken primarily by the Gonja people in northern Ghana.
  • A. Guna language
    Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
  • B. Gondi language
    The Gondi language is a Dravidian language spoken by the indigenous Gond people of central India, written in multiple scripts including Telugu and Devanagari.
  • C. Bongo language
    The Bongo language is a Central Sudanic language spoken by the Bongo people of South Sudan.
  • D. Konjo language
    The Konjo language is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia, known for its distinct coastal and highland dialects.
  • E. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abca25a84c8190859bf51000beffec completed March 7, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0bd7a088190b635a8bac233c5cd completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef50bc7ac8190add8ee63c5621dc1 completed March 9, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69aef632e2e08190b21023cbb0f12be8 completed March 9, 2026, 4:32 p.m.
Created at: March 6, 2026, 9:43 p.m.