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.