Triple
T1968140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inequality-adjusted Human Development Index |
E42735
|
entity |
| Predicate | incomeIndicator |
P11412
|
FINISHED |
| Object | gross national income per capita |
—
|
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: gross national income per capita | Statement: [Inequality-adjusted Human Development Index, incomeIndicator, gross national income per capita]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incomeIndicator Context triple: [Inequality-adjusted Human Development Index, incomeIndicator, gross national income per capita]
-
A.
economicStatus
Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
-
B.
incomeMeasure
chosen
Indicates a relationship where one entity serves as a measure or metric of another entity’s income.
-
C.
incomeType
Indicates the category or source classification of an entity’s income within a given context.
-
D.
medianHouseholdIncome
Indicates the typical (middle) value of income earned by households in a given area, such that half of households earn more and half earn less.
-
E.
incomeCounted
Indicates that a specified amount of income is included in a particular calculation, assessment, or determination (such as eligibility, benefits, or totals).
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3cf15048190a51f73ed85e1b958 |
completed | March 7, 2026, 5:12 a.m. |
| PD | Predicate disambiguation | batch_69abaff7d4a48190ab0d51aefb1c4e31 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.