Triple
T14017684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regional Comprehensive Economic Partnership |
E337241
|
entity |
| Predicate | coversShareOfGlobalGDP |
P1879
|
FINISHED |
| Object | about 30 percent |
—
|
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: about 30 percent | Statement: [Regional Comprehensive Economic Partnership, coversShareOfGlobalGDP, about 30 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversShareOfGlobalGDP Context triple: [Regional Comprehensive Economic Partnership, coversShareOfGlobalGDP, about 30 percent]
-
A.
coversShareOfWorldGDP
chosen
Indicates that the subject accounts for a specified proportion of the total gross domestic product produced worldwide.
-
B.
coversShareOfWorldPopulation
Indicates that something accounts for or includes a specified proportion of the total human population worldwide.
-
C.
hasHighGDPShareOf
Indicates that a specified portion or sector accounts for a large percentage of an entity’s total Gross Domestic Product (GDP).
-
D.
percentageOfWorldTrade
Indicates the proportion of total global trade that is accounted for by a particular entity or group.
-
E.
countryTradeShare
Indicates the proportion of a country’s total trade that is conducted with a specific partner or in a specific category.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:19 p.m.