Triple
T21625979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kugu |
E533702
|
entity |
| Predicate | hasLanguageVariety |
P5595
|
FINISHED |
| Object |
Kugu Uwanh
Kugu Uwanh is an Aboriginal Australian language traditionally spoken by the Kugu people of western Cape York Peninsula in Queensland.
|
E1494589
|
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: Kugu Uwanh | Statement: [Kugu, hasLanguageVariety, Kugu Uwanh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kugu Uwanh Context triple: [Kugu, hasLanguageVariety, Kugu Uwanh]
-
A.
Kusaasi
The Kusaasi are an ethnic group of northern Ghana and southern Burkina Faso, known for their distinct cultural traditions and as native speakers of the Kusaal language.
-
B.
Kiuwan
Kiuwan is a software analytics and security platform focused on static code analysis and application security testing for development teams.
-
C.
Ubulu-Uku
Ubulu-Uku is a town in Delta State, Nigeria, known as one of the traditional Igbo communities within the Aniocha region.
-
D.
Kijitonyama
Kijitonyama is a residential and commercial neighborhood in Dar es Salaam, Tanzania, known as one of the urban wards within the Kinondoni District.
-
E.
Luebo
Luebo is a town in the Democratic Republic of the Congo known for being the focal point of a significant Ebola virus outbreak in 2007.
- 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: Kugu Uwanh Triple: [Kugu, hasLanguageVariety, Kugu Uwanh]
Generated description
Kugu Uwanh is an Aboriginal Australian language traditionally spoken by the Kugu people of western Cape York Peninsula in Queensland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kugu Uwanh Target entity description: Kugu Uwanh is an Aboriginal Australian language traditionally spoken by the Kugu people of western Cape York Peninsula in Queensland.
-
A.
Kusaasi
The Kusaasi are an ethnic group of northern Ghana and southern Burkina Faso, known for their distinct cultural traditions and as native speakers of the Kusaal language.
-
B.
Kiuwan
Kiuwan is a software analytics and security platform focused on static code analysis and application security testing for development teams.
-
C.
Ubulu-Uku
Ubulu-Uku is a town in Delta State, Nigeria, known as one of the traditional Igbo communities within the Aniocha region.
-
D.
Kijitonyama
Kijitonyama is a residential and commercial neighborhood in Dar es Salaam, Tanzania, known as one of the urban wards within the Kinondoni District.
-
E.
Luebo
Luebo is a town in the Democratic Republic of the Congo known for being the focal point of a significant Ebola virus outbreak in 2007.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52131f2c8190b9966adf43a0fe4f |
completed | April 27, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0f92ff3881908f6319ef93abf078 |
completed | May 17, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_6a0a10106ab4819096045effbbdfe95e |
completed | May 17, 2026, 6:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a10c8c5bc8190add0ee63eb338964 |
completed | May 17, 2026, 7:02 p.m. |
Created at: April 16, 2026, 6:34 p.m.