Triple
T8158095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiong Yi |
E190503
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Yi |
E396159
|
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: Yi | Statement: [Xiong Yi, givenName, Yi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yi Context triple: [Xiong Yi, givenName, Yi]
-
A.
Yi
The Yi are one of China’s largest ethnic minority groups, with a distinct Tibeto-Burman language, traditional dress, and rich folk culture concentrated mainly in the mountainous regions of southwest China.
-
B.
Yi
chosen
Yi is a common Chinese given name shared by numerous historical and contemporary figures across politics, arts, and other fields.
-
C.
Ko Ri
Ko Ri is one of the small islands that make up Thailand’s Surin Islands archipelago in the Andaman Sea.
-
D.
Daehan Minguk
Daehan Minguk is the Korean name for the Republic of Korea, the East Asian nation commonly known as South Korea.
-
E.
Nam-ku
Nam-ku is the McCune–Reischauer romanization of Nam District, an administrative district in the city of Busan, South Korea.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44da14a481909f8d3277762b0e75 |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3471def08190a221e92fc4a2e9d7 |
completed | April 1, 2026, 3:06 p.m. |
Created at: March 30, 2026, 5:38 p.m.