Triple
T1968147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inequality-adjusted Human Development Index |
E42735
|
entity |
| Predicate | adjustmentMethod |
P6679
|
FINISHED |
| Object | uses Atkinson inequality measure |
—
|
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: uses Atkinson inequality measure | Statement: [Inequality-adjusted Human Development Index, adjustmentMethod, uses Atkinson inequality measure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjustmentMethod Context triple: [Inequality-adjusted Human Development Index, adjustmentMethod, uses Atkinson inequality measure]
-
A.
adjustmentType
Indicates the specific kind or category of modification applied to an existing value, state, or configuration within the relationship.
-
B.
tuningMethod
Indicates the method or approach used to adjust or optimize something’s parameters or performance.
-
C.
divisorAdjustment
Indicates an operation or relationship where a value is modified based on a divisor, typically scaling or normalizing it according to that divisor.
-
D.
weightingMethod
chosen
Indicates how relative importance or influence is assigned to elements within a set, such as criteria, features, or data points, in a calculation or decision process.
-
E.
notAdjustedFor
Indicates that a value, measure, or result has not been modified or corrected to account for certain factors, conditions, or variables.
- 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.