Triple
T11578345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantic languages |
E274561
|
entity |
| Predicate | majorLanguage |
P207
|
FINISHED |
| Object |
Nalu
Nalu is a Niger-Congo language of the Atlantic branch spoken primarily by the Nalu people in coastal Guinea and neighboring regions of West Africa.
|
E934536
|
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: Nalu | Statement: [Atlantic languages, majorLanguage, Nalu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nalu Context triple: [Atlantic languages, majorLanguage, Nalu]
-
A.
Naul
Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
-
B.
Nal
Nal is an entity or individual that serves as a point of comparison to Amri, suggesting they share similar characteristics, roles, or contexts.
-
C.
Nal
Nal is a locality in Rajasthan, India, known primarily for hosting Nal Airport, which serves the nearby city of Bikaner.
-
D.
Niulakita
Niulakita is the southernmost island of Tuvalu, known as a small, remote coral atoll with a tiny population and traditional significance for Tuvaluan people.
-
E.
Navua
Navua is a small town on the southern coast of Fiji’s main island, Viti Levu, known for its river, surrounding rainforest, and adventure tourism activities.
- 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: Nalu Triple: [Atlantic languages, majorLanguage, Nalu]
Generated description
Nalu is a Niger-Congo language of the Atlantic branch spoken primarily by the Nalu people in coastal Guinea and neighboring regions of West Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nalu Target entity description: Nalu is a Niger-Congo language of the Atlantic branch spoken primarily by the Nalu people in coastal Guinea and neighboring regions of West Africa.
-
A.
Naul
Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
-
B.
Nal
Nal is an entity or individual that serves as a point of comparison to Amri, suggesting they share similar characteristics, roles, or contexts.
-
C.
Nal
Nal is a locality in Rajasthan, India, known primarily for hosting Nal Airport, which serves the nearby city of Bikaner.
-
D.
Niulakita
Niulakita is the southernmost island of Tuvalu, known as a small, remote coral atoll with a tiny population and traditional significance for Tuvaluan people.
-
E.
Navua
Navua is a small town on the southern coast of Fiji’s main island, Viti Levu, known for its river, surrounding rainforest, and adventure tourism activities.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904b46288190890ecafd6ceb0c3d |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e714080a60819095205355776c8637 |
completed | April 21, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69e720f9a8588190aa766d2e1628207a |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e72315dda08190996aa84587c5fc80 |
completed | April 21, 2026, 7:11 a.m. |
Created at: April 8, 2026, 9:38 p.m.