Triple

T14010311
Position Surface form Disambiguated ID Type / Status
Subject Nupoid languages E337060 entity
Predicate hasMember P10 FINISHED
Object Bassa Nge language
The Bassa Nge language is a Nupoid language spoken by the Bassa Nge people of central Nigeria.
E1073884 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: Bassa Nge language | Statement: [Nupoid languages, hasMember, Bassa Nge language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bassa Nge language
Context triple: [Nupoid languages, hasMember, Bassa Nge language]
  • A. Bassa language
    Bassa language is a Kru language of the Niger-Congo family spoken primarily by the Bassa people in Liberia and neighboring regions.
  • B. Sanglechi language
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • C. Nafe (Nguna) language
    The Nafe (Nguna) language is an Oceanic Austronesian language spoken on Nguna Island and nearby areas in central Vanuatu.
  • D. Bajelani language
    The Bajelani language is a lesser-known Northwestern Iranian language spoken primarily by Kurdish communities in parts of Iraq and Iran.
  • E. Gbaya-Mbodomo language
    The Gbaya-Mbodomo language is a Niger-Congo language spoken by the Gbaya people of Central Africa, particularly in parts of the Central African Republic and neighboring 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: Bassa Nge language
Triple: [Nupoid languages, hasMember, Bassa Nge language]
Generated description
The Bassa Nge language is a Nupoid language spoken by the Bassa Nge people of central Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bassa Nge language
Target entity description: The Bassa Nge language is a Nupoid language spoken by the Bassa Nge people of central Nigeria.
  • A. Bassa language
    Bassa language is a Kru language of the Niger-Congo family spoken primarily by the Bassa people in Liberia and neighboring regions.
  • B. Sanglechi language
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • C. Nafe (Nguna) language
    The Nafe (Nguna) language is an Oceanic Austronesian language spoken on Nguna Island and nearby areas in central Vanuatu.
  • D. Bajelani language
    The Bajelani language is a lesser-known Northwestern Iranian language spoken primarily by Kurdish communities in parts of Iraq and Iran.
  • E. Gbaya-Mbodomo language
    The Gbaya-Mbodomo language is a Niger-Congo language spoken by the Gbaya people of Central Africa, particularly in parts of the Central African Republic and neighboring 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca7bbd88190a377d3b74f3d6224 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae6691b48190a0affc662cbb2d4e completed May 6, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69fbaf702c94819095347e2599ae9931 completed May 6, 2026, 9:15 p.m.
Created at: April 9, 2026, 10:19 p.m.