Triple
T262244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asia-Pacific |
E5562
|
entity |
| Predicate | isKeyRegionFor |
P10082
|
FINISHED |
| Object | global trade |
—
|
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: global trade | Statement: [Asia-Pacific, isKeyRegionFor, global trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKeyRegionFor Context triple: [Asia-Pacific, isKeyRegionFor, global trade]
-
A.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
B.
supportsRegion
Indicates that one entity provides assistance, resources, or backing to a specific geographic or administrative region.
-
C.
usedInRegion
Indicates that something is utilized or applied within a specific geographic or administrative region.
-
D.
dominantRegion
Indicates that one region exerts primary control, influence, or prominence over another region within a given context.
-
E.
hasSpacetimeRegion
Indicates that something occupies, is associated with, or is bounded by a specific region in spacetime.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e2aba74819093eddd8d820260c0 |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b6c968c819094fc903a3a377e15 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25e292fdc8190bfd51d8848f9ed58 |
completed | Feb. 28, 2026, 3:16 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.