Triple

T2282275
Position Surface form Disambiguated ID Type / Status
Subject Kituba E51306 entity
Predicate alsoKnownAs P39 FINISHED
Object Munukutuba
Munukutuba is a widely used Bantu lingua franca of the Republic of the Congo and surrounding regions, serving as a major language of trade and interethnic communication.
E249762 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: Munukutuba | Statement: [Kituba, alsoKnownAs, Munukutuba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munukutuba
Context triple: [Kituba, alsoKnownAs, Munukutuba]
  • A. Mukuzani
    Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
  • B. Sakubva
    Sakubva is a high-density residential suburb of Mutare in eastern Zimbabwe, known as one of the city’s oldest and most populous townships.
  • C. Mbanika
    Mbanika is one of the main islands in the Russell Islands group in the Central Province of the Solomon Islands, known for its World War II history and natural tropical environment.
  • D. Mupun
    Mupun is a West Chadic language spoken primarily in central Nigeria by the Mupun people.
  • E. Mujuretuli
    Mujuretuli is a traditional Georgian grape variety from the Racha-Lechkhumi and Kvemo Svaneti region, known for producing distinctive, high-quality red wines.
  • 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: Munukutuba
Triple: [Kituba, alsoKnownAs, Munukutuba]
Generated description
Munukutuba is a widely used Bantu lingua franca of the Republic of the Congo and surrounding regions, serving as a major language of trade and interethnic communication.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Munukutuba
Target entity description: Munukutuba is a widely used Bantu lingua franca of the Republic of the Congo and surrounding regions, serving as a major language of trade and interethnic communication.
  • A. Mukuzani
    Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
  • B. Sakubva
    Sakubva is a high-density residential suburb of Mutare in eastern Zimbabwe, known as one of the city’s oldest and most populous townships.
  • C. Mbanika
    Mbanika is one of the main islands in the Russell Islands group in the Central Province of the Solomon Islands, known for its World War II history and natural tropical environment.
  • D. Mupun
    Mupun is a West Chadic language spoken primarily in central Nigeria by the Mupun people.
  • E. Mujuretuli
    Mujuretuli is a traditional Georgian grape variety from the Racha-Lechkhumi and Kvemo Svaneti region, known for producing distinctive, high-quality red wines.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc21d6d748190980128c1bc5b9621 completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71e7b44c8190ab647646352b71b7 completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae72bf22088190a2c111a71eb0dda7 completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae731ab8bc819090fac5b311cb5fe0 completed March 9, 2026, 7:13 a.m.
Created at: March 4, 2026, 7:48 p.m.