Triple
T6599176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lau (Malaita) |
E148551
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Southern Lau
Southern Lau is a dialectal variety of the Lau language spoken on Malaita in the Solomon Islands.
|
E607228
|
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: Southern Lau | Statement: [Lau (Malaita), hasDialects, Southern Lau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southern Lau Context triple: [Lau (Malaita), hasDialects, Southern Lau]
-
A.
Southern Tat
Southern Tat is a regional variety of the Tat language spoken by Tat communities in parts of the South Caucasus.
-
B.
Southern Min
Southern Min is a major branch of the Sinitic language family spoken primarily in southeastern China and among overseas Chinese communities, encompassing varieties such as Hokkien, Taiwanese, and Teochew.
-
C.
South South
South South is a geopolitical zone in southern Nigeria comprising several oil-rich coastal states in the Niger Delta region.
-
D.
Southern Sama
Southern Sama is an Austronesian language spoken by the Sama-Bajau people in the southern Philippines, particularly in the Sulu Archipelago and nearby coastal areas.
-
E.
Southern Uma
Southern Uma is a regional dialect of the Uma language spoken by a subset of Uma-speaking communities, distinguished by its own phonological and lexical features.
- 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: Southern Lau Triple: [Lau (Malaita), hasDialects, Southern Lau]
Generated description
Southern Lau is a dialectal variety of the Lau language spoken on Malaita in the Solomon Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Southern Lau Target entity description: Southern Lau is a dialectal variety of the Lau language spoken on Malaita in the Solomon Islands.
-
A.
Southern Tat
Southern Tat is a regional variety of the Tat language spoken by Tat communities in parts of the South Caucasus.
-
B.
Southern Min
Southern Min is a major branch of the Sinitic language family spoken primarily in southeastern China and among overseas Chinese communities, encompassing varieties such as Hokkien, Taiwanese, and Teochew.
-
C.
South South
South South is a geopolitical zone in southern Nigeria comprising several oil-rich coastal states in the Niger Delta region.
-
D.
Southern Sama
Southern Sama is an Austronesian language spoken by the Sama-Bajau people in the southern Philippines, particularly in the Sulu Archipelago and nearby coastal areas.
-
E.
Southern Uma
Southern Uma is a regional dialect of the Uma language spoken by a subset of Uma-speaking communities, distinguished by its own phonological and lexical features.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeeffdf0819090af7bba918bef84 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e43224dc81909dea493a5ee2726e |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e4e9c344819099ad11c21c2e4a6e |
completed | March 27, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e581a4f88190b1f64033a49d1bae |
completed | March 27, 2026, 8:16 p.m. |
Created at: March 27, 2026, 1:56 p.m.