Triple
T22780521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaoshan people |
E563822
|
entity |
| Predicate | ethnicPolicyContext |
P149701
|
FINISHED |
| Object | PRC ethnic classification system |
—
|
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: PRC ethnic classification system | Statement: [Gaoshan people, ethnicPolicyContext, PRC ethnic classification system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicPolicyContext Context triple: [Gaoshan people, ethnicPolicyContext, PRC ethnic classification system]
-
A.
racialPolicy
Indicates a policy or set of rules that differentiates or governs people based on their race.
-
B.
nationalityPolicy
Indicates the policy or rules a state or organization applies regarding the national affiliation or citizenship status of individuals.
-
C.
foreignPolicyContext
Indicates the broader international relations setting or circumstances within which a foreign policy decision, action, or stance occurs.
-
D.
foreignPolicyArea
Indicates the specific domain or topic within foreign policy to which an action, decision, or statement is related.
-
E.
racialPolicyHistory
Indicates the historical record of racial policies that have been applied to or associated with an entity over time.
- F. None of above. chosen
Provenance (4 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c2cab0881908df1d0629b43d350 |
completed | April 29, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:28 p.m.