Triple
T16138215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States |
E391584
|
entity |
| Predicate | largestEconomyRank |
P89177
|
FINISHED |
| Object | among world’s largest economies |
—
|
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: among world’s largest economies | Statement: [United States, largestEconomyRank, among world’s largest economies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestEconomyRank Context triple: [United States, largestEconomyRank, among world’s largest economies]
-
A.
hasLargestEconomy
Indicates that one entity possesses the largest economy in size or value compared to a specified group of entities.
-
B.
gdpRank
chosen
Indicates the relative position of an entity in a ranking ordered by its gross domestic product (GDP) compared to others.
-
C.
gdpRankInUS
Indicates the relative position of an entity in the ranking of U.S. entities based on their Gross Domestic Product (GDP).
-
D.
hasSecondLargestEconomy
Indicates that one entity possesses the second-largest economy in size or value relative to a specified group or set of entities.
-
E.
GDPPerCapitaRanking
Indicates the relative position of an entity in an ordered list based on its gross domestic product (GDP) per person.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a05e68881908319454a478cdda5 |
completed | April 17, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.