Triple
T607704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finland |
E12029
|
entity |
| Predicate | humanDevelopmentIndexLevel |
P9831
|
FINISHED |
| Object | very high |
—
|
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: very high | Statement: [Finland, humanDevelopmentIndexLevel, very high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: humanDevelopmentIndexLevel Context triple: [Finland, humanDevelopmentIndexLevel, very high]
-
A.
humanDevelopmentIndexCategory
chosen
Indicates the classification of an entity into a specific Human Development Index (HDI) level or category based on its overall human development score.
-
B.
humanDevelopmentIndexRank
Indicates the relative position of an entity in an ordered list based on its Human Development Index value compared to others.
-
C.
standardOfLivingRank
Indicates the relative position or ranking of an entity based on its standard of living compared to others.
-
D.
GDPPerCapitaRanking
Indicates the relative position of an entity in an ordered list based on its gross domestic product (GDP) per person.
-
E.
urbanizationLevel
Indicates the degree to which an area or population is characterized by urban development, infrastructure, and density of human settlement.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.