Triple
T21715119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongjiang Port Area |
E536005
|
entity |
| Predicate | hasPolicyEnvironment |
P116677
|
FINISHED |
| Object | preferential trade policies |
—
|
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: preferential trade policies | Statement: [Dongjiang Port Area, hasPolicyEnvironment, preferential trade policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPolicyEnvironment Context triple: [Dongjiang Port Area, hasPolicyEnvironment, preferential trade policies]
-
A.
hasPolicySupport
Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
-
B.
hasPolicyFunction
Indicates that an entity is associated with, governed by, or characterized through a particular policy function or set of policy rules.
-
C.
hasPolicyStatus
Indicates that an entity is associated with a policy and specifies the current status or state of that policy.
-
D.
hasPolicyAspect
chosen
Indicates that something includes, reflects, or is related to a particular policy-related dimension, feature, or consideration.
-
E.
hasLanguagePolicyContext
Indicates that there is an associated language-related policy, rule, or regulatory context governing how language is used or managed in relation to the subject.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53761b48190954a46e8155a84f0 |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:47 p.m.