Triple
T10268215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kadazan-Dusun |
E240765
|
entity |
| Predicate | traditionalDance |
P1114
|
FINISHED |
| Object |
Sumazau
Sumazau is a traditional Kadazan-Dusun dance from Sabah, Malaysia, characterized by graceful, bird-like arm movements performed to gong music during cultural and ceremonial occasions.
|
E853072
|
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: Sumazau | Statement: [Kadazan-Dusun, traditionalDance, Sumazau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sumazau Context triple: [Kadazan-Dusun, traditionalDance, Sumazau]
-
A.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
B.
Zakumi
Zakumi is the leopard-themed mascot character created to represent South Africa and embody the spirit of the 2010 FIFA World Cup.
-
C.
Nakoruru
Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
-
D.
Amuesha
Amuesha is another name for the Yaneshaʼ language, an Arawakan language spoken by the Yaneshaʼ (Amuesha) people of central Peru.
-
E.
Munefusa
Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
- 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: Sumazau Triple: [Kadazan-Dusun, traditionalDance, Sumazau]
Generated description
Sumazau is a traditional Kadazan-Dusun dance from Sabah, Malaysia, characterized by graceful, bird-like arm movements performed to gong music during cultural and ceremonial occasions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sumazau Target entity description: Sumazau is a traditional Kadazan-Dusun dance from Sabah, Malaysia, characterized by graceful, bird-like arm movements performed to gong music during cultural and ceremonial occasions.
-
A.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
B.
Zakumi
Zakumi is the leopard-themed mascot character created to represent South Africa and embody the spirit of the 2010 FIFA World Cup.
-
C.
Nakoruru
Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
-
D.
Amuesha
Amuesha is another name for the Yaneshaʼ language, an Arawakan language spoken by the Yaneshaʼ (Amuesha) people of central Peru.
-
E.
Munefusa
Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d26df80081908514fd5c9392e2b7 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f805d49c8190becddbbf17ac65fd |
completed | April 9, 2026, 12:51 a.m. |
| NEDg | Description generation | batch_69d6fcaca55c81908a48ac2a0ce24b85 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd772bc08190bf270f5fc767fb29 |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:34 a.m.