Triple

T2713639
Position Surface form Disambiguated ID Type / Status
Subject Stonebwoy E59916 entity
Predicate notableSong P4 FINISHED
Object Bawasaba
"Bawasaba" is a popular Afro-dancehall song by Ghanaian artist Stonebwoy, known for its energetic rhythm and catchy chorus.
 E292206 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: Bawasaba | Statement: [Stonebwoy, notableSong, Bawasaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bawasaba
Context triple: [Stonebwoy, notableSong, Bawasaba]
  • A. Gaimushō
    Gaimushō is Japan’s Ministry of Foreign Affairs, responsible for managing the country’s diplomatic relations and international policies.
  • B. Awaba
    Awaba is an Aboriginal name historically used for Lake Macquarie, a large coastal lake in New South Wales, Australia.
  • C. Kashiba
    Kashiba is a city in Japan known for its residential communities and location in the northwestern part of Nara Prefecture, near the Osaka metropolitan area.
  • D. Bunkachō
    Bunkachō is Japan’s national government agency responsible for promoting, preserving, and administering the country’s cultural affairs and heritage.
  • E. Akizuki
    Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
  • 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: Bawasaba
Triple: [Stonebwoy, notableSong, Bawasaba]
Generated description
"Bawasaba" is a popular Afro-dancehall song by Ghanaian artist Stonebwoy, known for its energetic rhythm and catchy chorus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bawasaba
Target entity description: "Bawasaba" is a popular Afro-dancehall song by Ghanaian artist Stonebwoy, known for its energetic rhythm and catchy chorus.
  • A. Gaimushō
    Gaimushō is Japan’s Ministry of Foreign Affairs, responsible for managing the country’s diplomatic relations and international policies.
  • B. Awaba
    Awaba is an Aboriginal name historically used for Lake Macquarie, a large coastal lake in New South Wales, Australia.
  • C. Kashiba
    Kashiba is a city in Japan known for its residential communities and location in the northwestern part of Nara Prefecture, near the Osaka metropolitan area.
  • D. Bunkachō
    Bunkachō is Japan’s national government agency responsible for promoting, preserving, and administering the country’s cultural affairs and heritage.
  • E. Akizuki
    Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda924b24819090adc4128e86d4bd completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68552848190ad2e615e16716fa1 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb74d9f4c8190b6b3f568babfb7b5 completed March 10, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69afb7c2b9d08190bce599c364d809b7 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:55 p.m.