Triple

T3909921
Position Surface form Disambiguated ID Type / Status
Subject Gurage languages E87295 entity
Predicate hasLanguage P15 FINISHED
Object Gura language
The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
 E397418 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: Gura language | Statement: [Gurage languages, hasLanguage, Gura language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gura language
Context triple: [Gurage languages, hasLanguage, Gura language]
  • A. Gurma language
    Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
  • B. Gǀui language
    The Gǀui language is a Khoe-Kwadi (Khoe) language spoken by indigenous communities in parts of Botswana and Namibia, notable for its extensive use of click consonants.
  • C. Guna language
    Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
  • D. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • 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: Gura language
Triple: [Gurage languages, hasLanguage, Gura language]
Generated description
The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gura language
Target entity description: The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
  • A. Gurma language
    Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
  • B. Gǀui language
    The Gǀui language is a Khoe-Kwadi (Khoe) language spoken by indigenous communities in parts of Botswana and Namibia, notable for its extensive use of click consonants.
  • C. Guna language
    Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
  • D. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed14d6d08190b74757eb9288fe4d completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cb1b194819093b88d3f37ae51d9 completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51d8510c08190a88a1a8f044b3c59 completed March 14, 2026, 8:34 a.m.
NED2 Entity disambiguation (via description) batch_69b51e0e9df08190959bc5cb7084d8a5 completed March 14, 2026, 8:36 a.m.
Created at: March 9, 2026, 3:22 p.m.