Triple
T337040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human Development Index |
E6750
|
entity |
| Predicate | educationProxy |
P11411
|
FINISHED |
| Object | mean years of schooling |
—
|
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: mean years of schooling | Statement: [Human Development Index, educationProxy, mean years of schooling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationProxy Context triple: [Human Development Index, educationProxy, mean years of schooling]
-
A.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
-
B.
schoolBoard
Indicates that an entity serves as or is governed by a school board responsible for overseeing educational policies and administration.
-
C.
viewOnEducation
Indicates a stance, opinion, or perspective that an entity holds regarding education or educational matters.
-
D.
offersEducationMode
Indicates that an entity provides a particular mode or format in which education or instruction is delivered.
-
E.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
- F. None of above. chosen
Provenance (4 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eac950388190829875a07d821ddf |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94f049881908f10bb6548a8bb2e |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2af1388190b93235602ace679e |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.