Triple

T13356481
Position Surface form Disambiguated ID Type / Status
Subject Baining people E318705 entity
Predicate usesLanguage P238 FINISHED
Object Qaqet language
The Qaqet language is an indigenous Papuan language spoken by the Baining people of East New Britain in Papua New Guinea.
E1037556 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: Qaqet language | Statement: [Baining people, usesLanguage, Qaqet language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qaqet language
Context triple: [Baining people, usesLanguage, Qaqet language]
  • A. Kintaq language
    The Kintaq language is a minor Aslian (Austroasiatic) language spoken by an indigenous community in Peninsular Malaysia.
  • B. Qewena language
    The Qewena language is a Cushitic language of Ethiopia, closely related to Sidamo and spoken by the Qewena people.
  • C. Qwara language
    The Qwara language is a nearly extinct Afroasiatic language once spoken by the Beta Israel community in Ethiopia’s Gondar region.
  • D. Kawesqar language
    The Kawesqar language is an endangered indigenous language of the Kawesqar people of southern Chile, traditionally spoken by seafaring communities in the Patagonian channels and fjords.
  • E. Kwareʼae language
    The Kwareʼae language is an Oceanic language spoken by the Kwareʼae people on Malaita Island in the Solomon Islands.
  • 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: Qaqet language
Triple: [Baining people, usesLanguage, Qaqet language]
Generated description
The Qaqet language is an indigenous Papuan language spoken by the Baining people of East New Britain in Papua New Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Qaqet language
Target entity description: The Qaqet language is an indigenous Papuan language spoken by the Baining people of East New Britain in Papua New Guinea.
  • A. Kintaq language
    The Kintaq language is a minor Aslian (Austroasiatic) language spoken by an indigenous community in Peninsular Malaysia.
  • B. Qewena language
    The Qewena language is a Cushitic language of Ethiopia, closely related to Sidamo and spoken by the Qewena people.
  • C. Qwara language
    The Qwara language is a nearly extinct Afroasiatic language once spoken by the Beta Israel community in Ethiopia’s Gondar region.
  • D. Kawesqar language
    The Kawesqar language is an endangered indigenous language of the Kawesqar people of southern Chile, traditionally spoken by seafaring communities in the Patagonian channels and fjords.
  • E. Kwareʼae language
    The Kwareʼae language is an Oceanic language spoken by the Kwareʼae people on Malaita Island in the Solomon Islands.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd4cb008190af99c4856e76ac08 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72675c87c8190b26991b55092c444 completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f727512c94819091985c7942f40b31 completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f72b77d650819092c02f6488b2cfb2 completed May 3, 2026, 11:03 a.m.
Created at: April 9, 2026, 9:32 p.m.