Triple

T3762876
Position Surface form Disambiguated ID Type / Status
Subject Sidamo E82602 entity
Predicate closelyRelatedTo P37 FINISHED
Object Alaba language
The Alaba language is a Highland East Cushitic language spoken primarily by the Alaba people in southern Ethiopia.
 E386673 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: Alaba language | Statement: [Sidamo, closelyRelatedTo, Alaba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alaba language
Context triple: [Sidamo, closelyRelatedTo, Alaba language]
  • A. Dagbani language
    Dagbani is a major Gur language of northern Ghana, spoken primarily by the Dagomba people and used widely in education, media, and regional communication.
  • B. Apalaí language
    The Apalaí language is an indigenous Cariban language spoken by the Apalaí people of the Amazon region in northern Brazil.
  • C. Urhobo language
    The Urhobo language is a Niger-Congo language spoken primarily by the Urhobo people of southern Nigeria, especially in Delta State.
  • D. Banda-Ndélé language
    The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
  • E. Banda-Gbi language
    The Banda-Gbi language is a Central Sudanic language spoken by the Banda people of the Central African Republic and surrounding regions.
  • 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: Alaba language
Triple: [Sidamo, closelyRelatedTo, Alaba language]
Generated description
The Alaba language is a Highland East Cushitic language spoken primarily by the Alaba people in southern Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alaba language
Target entity description: The Alaba language is a Highland East Cushitic language spoken primarily by the Alaba people in southern Ethiopia.
  • A. Dagbani language
    Dagbani is a major Gur language of northern Ghana, spoken primarily by the Dagomba people and used widely in education, media, and regional communication.
  • B. Apalaí language
    The Apalaí language is an indigenous Cariban language spoken by the Apalaí people of the Amazon region in northern Brazil.
  • C. Urhobo language
    The Urhobo language is a Niger-Congo language spoken primarily by the Urhobo people of southern Nigeria, especially in Delta State.
  • D. Banda-Ndélé language
    The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
  • E. Banda-Gbi language
    The Banda-Gbi language is a Central Sudanic language spoken by the Banda people of the Central African Republic and surrounding regions.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfbecf8819099d80af480cbe2d2 completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e51acd0c81909a675e525ece6d1b completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e8d7b6d48190a56c3d1921bb2088 completed March 14, 2026, 4:49 a.m.
NED2 Entity disambiguation (via description) batch_69b4e966a5648190a449fbb23c39f905 completed March 14, 2026, 4:51 a.m.
Created at: March 8, 2026, 3:35 p.m.