Triple
T22069128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhengzhou Airport Economy Zone |
E545357
|
entity |
| Predicate | policySupportLevel |
P9281
|
FINISHED |
| Object | national |
—
|
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: national | Statement: [Zhengzhou Airport Economy Zone, policySupportLevel, national]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policySupportLevel Context triple: [Zhengzhou Airport Economy Zone, policySupportLevel, national]
-
A.
policyLevel
chosen
Indicates the degree or tier of strictness, scope, or priority associated with a given policy.
-
B.
supportsPolicy
Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
-
C.
partySupported
Indicates that one party or entity provides backing, endorsement, or assistance to another party or entity.
-
D.
supportsLevelOfGovernment
Indicates that one entity provides assistance, endorsement, or resources to a particular level or tier of government (such as local, regional, or national).
-
E.
hasPolicySupport
Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1288724e881908b38fe7e56d3b448 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:28 p.m.