Triple

T2446262
Position Surface form Disambiguated ID Type / Status
Subject Gur languages E53600 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Sisaala language
The Sisaala language is a Gur language spoken primarily by the Sisaala people in northern Ghana and parts of Burkina Faso.
 E267644 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: Sisaala language | Statement: [Gur languages, hasMemberLanguage, Sisaala language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sisaala language
Context triple: [Gur languages, hasMemberLanguage, Sisaala language]
  • A. Saisiyat language
    The Saisiyat language is an indigenous Austronesian language spoken by the Saisiyat people of northwestern Taiwan.
  • B. Saluan language
    The Saluan language is an Austronesian language spoken by the Saluan people of central and eastern Sulawesi, Indonesia.
  • C. Lasalimu language
    The Lasalimu language is an Austronesian language spoken by a small community on Buton Island in Southeast Sulawesi, Indonesia.
  • D. Sika language
    The Sika language is an Austronesian language spoken by the Sika people on the island of Flores in eastern Indonesia.
  • E. Baliledu language
    The Baliledu language is an Austronesian language of the Bima–Sumba subgroup spoken by a local community in eastern Indonesia.
  • 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: Sisaala language
Triple: [Gur languages, hasMemberLanguage, Sisaala language]
Generated description
The Sisaala language is a Gur language spoken primarily by the Sisaala people in northern Ghana and parts of Burkina Faso.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sisaala language
Target entity description: The Sisaala language is a Gur language spoken primarily by the Sisaala people in northern Ghana and parts of Burkina Faso.
  • A. Saisiyat language
    The Saisiyat language is an indigenous Austronesian language spoken by the Saisiyat people of northwestern Taiwan.
  • B. Saluan language
    The Saluan language is an Austronesian language spoken by the Saluan people of central and eastern Sulawesi, Indonesia.
  • C. Lasalimu language
    The Lasalimu language is an Austronesian language spoken by a small community on Buton Island in Southeast Sulawesi, Indonesia.
  • D. Sika language
    The Sika language is an Austronesian language spoken by the Sika people on the island of Flores in eastern Indonesia.
  • E. Baliledu language
    The Baliledu language is an Austronesian language of the Bima–Sumba subgroup spoken by a local community in eastern Indonesia.
  • 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.