Triple
T12448044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dusun |
E297452
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Liwan Dusun |
E853075
|
NE FINISHED |
How this triple was built (2 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: Liwan Dusun | Statement: [Dusun, hasSubgroup, Liwan Dusun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liwan Dusun Context triple: [Dusun, hasSubgroup, Liwan Dusun]
-
A.
Liwan Dusun
chosen
Liwan Dusun is a sub-ethnic group of the Kadazan-Dusun people of Sabah, Malaysia, with its own distinct dialect and cultural traditions.
-
B.
Dushun
Dushun was a 7th-century Chinese Buddhist monk traditionally regarded as the founding patriarch of the Huayan school of Mahayana Buddhism.
-
C.
Zao Town
Zao Town is a rural Japanese town known for its hot springs, ski resorts, and scenic volcanic landscapes in northeastern Honshu.
-
D.
Dunhua
Dunhua is a county-level city in northeastern China's Jilin Province, known for its location within the Yanbian Korean Autonomous Prefecture and its mix of Han and Korean cultural influences.
-
E.
Shancheng
Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9e592c81908cf7f3ca170d942c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1501448190b0a95d7cd249ca9d |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.