Triple
T20580328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese East Africa |
E505633
|
entity |
| Predicate | ethnicGroups |
P1898
|
FINISHED |
| Object | Yao |
—
|
NE NERFINISHED |
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: Yao | Statement: [Portuguese East Africa, ethnicGroups, Yao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yao Context triple: [Portuguese East Africa, ethnicGroups, Yao]
-
A.
Yao
Yao is a calm, enigmatic wellness consultant at the remote health resort in Liane Moriarty’s novel (and its TV adaptation) "Nine Perfect Strangers."
-
B.
Yao
Yao is a Chinese surname borne by many notable individuals, including figures in politics, sports, and academia.
-
C.
Yao
Yao is one of Mulan’s tough but loyal soldier friends in Disney’s Mulan films, known for his short stature, brash attitude, and fierce loyalty.
-
D.
Yao
Yao is a city in Osaka Prefecture, Japan, known as an industrial and residential hub within the Kansai region.
-
E.
Yao
chosen
Yao is a Southern Bantu language spoken primarily in Malawi, Mozambique, and Tanzania by the Yao people.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90dd3e881908915debe1f1e8509 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:39 a.m.