Triple
T253303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina |
E5383
|
entity |
| Predicate | WorldBankIncomeCategory |
P2987
|
FINISHED |
| Object | upper-middle income |
—
|
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: upper-middle income | Statement: [Argentina, WorldBankIncomeCategory, upper-middle income]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldBankIncomeCategory Context triple: [Argentina, WorldBankIncomeCategory, upper-middle income]
-
A.
WorldBankMember
Indicates that an entity is a member country or organization formally belonging to the World Bank.
-
B.
GDPPerCapitaRanking
Indicates the relative position of an entity in an ordered list based on its gross domestic product (GDP) per person.
-
C.
includesAdvancedEconomies
Indicates that the referenced group, set, or collection contains one or more countries classified as advanced economies.
-
D.
economicStatus
chosen
Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
-
E.
gdpRankInUS
Indicates the relative position of an entity in the ranking of U.S. entities based on their Gross Domestic Product (GDP).
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d5331b48190b3797fece8e60e20 |
completed | Feb. 28, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69a25b678d6c81909780e1995c1ca691 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.