Triple
T11397555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laka language |
E270016
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Laka of Lau
Laka of Lau is a Central Sudanic language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
|
E923589
|
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: Laka of Lau | Statement: [Laka language, hasAlternativeName, Laka of Lau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laka of Lau Context triple: [Laka language, hasAlternativeName, Laka of Lau]
-
A.
Taulaga
Taulaga is the small principal village and only significant settlement on Swains Island in American Samoa.
-
B.
Katiyana Mauga
Katiyana Mauga is a former University of Arizona power-hitting softball star known for her prolific home run totals and All-American collegiate career.
-
C.
Leale
Leale is an Italian-origin surname borne by various individuals, including those in the arts and public life.
-
D.
Koloa Talake
Koloa Talake is a Tuvaluan politician who served as the country's prime minister in the early 2000s.
-
E.
Malamulele
Malamulele is a major town in South Africa’s Limpopo province, serving as an important local center for commerce and administration within the Vhembe region.
- 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: Laka of Lau Triple: [Laka language, hasAlternativeName, Laka of Lau]
Generated description
Laka of Lau is a Central Sudanic language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laka of Lau Target entity description: Laka of Lau is a Central Sudanic language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
-
A.
Taulaga
Taulaga is the small principal village and only significant settlement on Swains Island in American Samoa.
-
B.
Katiyana Mauga
Katiyana Mauga is a former University of Arizona power-hitting softball star known for her prolific home run totals and All-American collegiate career.
-
C.
Leale
Leale is an Italian-origin surname borne by various individuals, including those in the arts and public life.
-
D.
Koloa Talake
Koloa Talake is a Tuvaluan politician who served as the country's prime minister in the early 2000s.
-
E.
Malamulele
Malamulele is a major town in South Africa’s Limpopo province, serving as an important local center for commerce and administration within the Vhembe region.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80019d3d48190a2f473deb6eae33a |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58cd74280819092f8c420630f4889 |
completed | April 20, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69e59774e6648190a38b2515a83c2e0c |
completed | April 20, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5a3abf24481908fb71f4ef6b13532 |
completed | April 20, 2026, 3:55 a.m. |
Created at: April 8, 2026, 9:34 p.m.