Triple
T18611647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pu-Xian Min |
E454906
|
entity |
| Predicate | primaryStatusInChina |
P29579
|
FINISHED |
| Object | regional vernacular |
—
|
LITERAL 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: regional vernacular | Statement: [Pu-Xian Min, primaryStatusInChina, regional vernacular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryStatusInChina Context triple: [Pu-Xian Min, primaryStatusInChina, regional vernacular]
-
A.
legalStatusInChina
Indicates the legal status or standing that an entity holds under the laws and regulations of China.
-
B.
primaryStatus
chosen
Indicates the main or most important status assigned to an entity among potentially multiple statuses.
-
C.
ethnicStatusInChina
Indicates the ethnic classification or status that an entity holds within the sociopolitical context of China.
-
D.
legalStatusInTaiwan
Indicates the legal status or recognition that an entity has within the jurisdiction of Taiwan.
-
E.
positionOnChina
Indicates the stance, opinion, or policy that one entity holds regarding China.
- F. None of above.
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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d01ebd08190b6e646e3a749d7f5 |
completed | April 19, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:45 a.m.