Triple

T6334232
Position Surface form Disambiguated ID Type / Status
Subject Jarawan Bantu E142451 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Gwak
Gwak is a Jarawan Bantu language spoken by a small community in Nigeria.
E586683 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: Gwak | Statement: [Jarawan Bantu, hasMemberLanguage, Gwak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwak
Context triple: [Jarawan Bantu, hasMemberLanguage, Gwak]
  • A. Gwan-eum
    Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
  • B. Gukmun
    Gukmun is an old Korean term referring to the native Korean writing system that later came to be known as Joseongeul or Hangul.
  • C. Hanguk Suhwagi
    Hanguk Suhwagi is the Korean Sign Language used by the Deaf community in South Korea for everyday communication and cultural expression.
  • D. Baeggu
    Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
  • E. Gwangalli
    Gwangalli is a coastal neighborhood in Busan, South Korea, best known for its sandy beach, vibrant nightlife, and scenic views of the nearby Gwangan Bridge.
  • 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: Gwak
Triple: [Jarawan Bantu, hasMemberLanguage, Gwak]
Generated description
Gwak is a Jarawan Bantu language spoken by a small community in Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gwak
Target entity description: Gwak is a Jarawan Bantu language spoken by a small community in Nigeria.
  • A. Gwan-eum
    Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
  • B. Gukmun
    Gukmun is an old Korean term referring to the native Korean writing system that later came to be known as Joseongeul or Hangul.
  • C. Hanguk Suhwagi
    Hanguk Suhwagi is the Korean Sign Language used by the Deaf community in South Korea for everyday communication and cultural expression.
  • D. Baeggu
    Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
  • E. Gwangalli
    Gwangalli is a coastal neighborhood in Busan, South Korea, best known for its sandy beach, vibrant nightlife, and scenic views of the nearby Gwangan Bridge.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06549084c8190b73fd94c9e0cb302 completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c60424a5dc8190820970fce13776ac completed March 27, 2026, 4:14 a.m.
NEDg Description generation batch_69c60626724881908e6270c2d3652c16 completed March 27, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_69c606bd2228819082fcb63493664927 completed March 27, 2026, 4:25 a.m.
Created at: March 22, 2026, 4:30 p.m.