Triple

T6835781
Position Surface form Disambiguated ID Type / Status
Subject Gbe languages E157445 entity
Predicate hasPart P35 FINISHED
Object Waci language
The Waci language is a Gbe language of the Niger-Congo family spoken primarily in parts of Togo and Benin.
 E621213 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: Waci language | Statement: [Gbe languages, hasPart, Waci language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waci language
Context triple: [Gbe languages, hasPart, Waci language]
  • A. Waja language
    The Waja language is a lesser-known Niger-Congo language spoken by the Waja people of northeastern Nigeria.
  • B. 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.
  • C. Wetar language
    The Wetar language is an Austronesian language spoken on Wetar Island in Indonesia’s Maluku province, known for its distinct phonology and role in the Timor–Babar subgroup.
  • D. Wapishana language
    The Wapishana language is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • E. Wab language
    The Wab language is a lesser-known Papuan language spoken by an indigenous community in Papua New Guinea.
  • 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: Waci language
Triple: [Gbe languages, hasPart, Waci language]
Generated description
The Waci language is a Gbe language of the Niger-Congo family spoken primarily in parts of Togo and Benin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waci language
Target entity description: The Waci language is a Gbe language of the Niger-Congo family spoken primarily in parts of Togo and Benin.
  • A. Waja language
    The Waja language is a lesser-known Niger-Congo language spoken by the Waja people of northeastern Nigeria.
  • B. 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.
  • C. Wetar language
    The Wetar language is an Austronesian language spoken on Wetar Island in Indonesia’s Maluku province, known for its distinct phonology and role in the Timor–Babar subgroup.
  • D. Wapishana language
    The Wapishana language is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
  • E. Wab language
    The Wab language is a lesser-known Papuan language spoken by an indigenous community in Papua New Guinea.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d67a9ff88190b0d86331b3ea06aa completed March 27, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723ffce448190ac8edbaaa1517972 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724b7b31081909c2bab4a3ba6e9f9 completed March 28, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69c7253b94f081909e7cee870a12af6b completed March 28, 2026, 12:47 a.m.
Created at: March 27, 2026, 2:19 p.m.