Triple
T5283491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sasak |
E119554
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Ngeno-Ngene
Ngeno-Ngene is a major dialect of the Sasak language spoken on the island of Lombok in Indonesia.
|
E508398
|
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: Ngeno-Ngene | Statement: [Sasak, hasDialects, Ngeno-Ngene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngeno-Ngene Context triple: [Sasak, hasDialects, Ngeno-Ngene]
-
A.
Ngenechen
Ngenechen is the supreme creator deity in Mapuche spirituality, embodying the protective and life-giving force that governs the natural and human world.
-
B.
Igunga
Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
-
C.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
D.
Mbanderu
Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
-
E.
Nodwengu
Nodwengu was a principal royal residence and political center of the Zulu Kingdom during the 19th century.
- 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: Ngeno-Ngene Triple: [Sasak, hasDialects, Ngeno-Ngene]
Generated description
Ngeno-Ngene is a major dialect of the Sasak language spoken on the island of Lombok in Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ngeno-Ngene Target entity description: Ngeno-Ngene is a major dialect of the Sasak language spoken on the island of Lombok in Indonesia.
-
A.
Ngenechen
Ngenechen is the supreme creator deity in Mapuche spirituality, embodying the protective and life-giving force that governs the natural and human world.
-
B.
Igunga
Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
-
C.
Oshikwanyama
Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
-
D.
Mbanderu
Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
-
E.
Nodwengu
Nodwengu was a principal royal residence and political center of the Zulu Kingdom during the 19th century.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84c8d2bc8190840699e5a526b756 |
completed | March 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06e6200881908da623e8548ec051 |
completed | March 21, 2026, 9 p.m. |
| NEDg | Description generation | batch_69bf09d1b9088190a7bf560c8d22d225 |
completed | March 21, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf0a77e3b88190904c5ed6ee48ee71 |
completed | March 21, 2026, 9:15 p.m. |
Created at: March 20, 2026, 1:52 p.m.