Triple

T2446313
Position Surface form Disambiguated ID Type / Status
Subject Ewe E53601 entity
Predicate closelyRelatedTo P37 FINISHED
Object Aja language
The Aja language is a Gbe language of the Niger-Congo family spoken primarily in parts of Benin and Togo.
 E267651 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: Aja language | Statement: [Ewe, closelyRelatedTo, Aja language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aja language
Context triple: [Ewe, closelyRelatedTo, Aja language]
  • A. Ngaju language
    The Ngaju language is an Austronesian language spoken primarily by the Ngaju Dayak people of central Kalimantan in Indonesian Borneo.
  • B. Awajún language
    Awajún language is an indigenous Jivaroan language spoken primarily by the Awajún (Aguaruna) people of northern Peru.
  • C. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • D. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • E. Iaai language
    The Iaai language is an Oceanic language spoken primarily on Ouvéa Island in New Caledonia, known for its complex phonology and distinctive vowel system.
  • 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: Aja language
Triple: [Ewe, closelyRelatedTo, Aja language]
Generated description
The Aja language is a Gbe language of the Niger-Congo family spoken primarily in parts of Benin and Togo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aja language
Target entity description: The Aja language is a Gbe language of the Niger-Congo family spoken primarily in parts of Benin and Togo.
  • A. Ngaju language
    The Ngaju language is an Austronesian language spoken primarily by the Ngaju Dayak people of central Kalimantan in Indonesian Borneo.
  • B. Awajún language
    Awajún language is an indigenous Jivaroan language spoken primarily by the Awajún (Aguaruna) people of northern Peru.
  • C. Akawaio language
    The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
  • D. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • E. Iaai language
    The Iaai language is an Oceanic language spoken primarily on Ouvéa Island in New Caledonia, known for its complex phonology and distinctive vowel system.
  • 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.