Triple
T16475501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sustainable Development Goal 8 |
E400175
|
entity |
| Predicate | target8.aFocus |
P31
|
FINISHED |
| Object | increase Aid for Trade support for developing countries |
—
|
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: increase Aid for Trade support for developing countries | Statement: [Sustainable Development Goal 8, target8.aFocus, increase Aid for Trade support for developing countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: target8.aFocus Context triple: [Sustainable Development Goal 8, target8.aFocus, increase Aid for Trade support for developing countries]
-
A.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
B.
targetArea
Indicates the specific area or region that is the intended focus or destination of an action or effect.
-
C.
focusOf
Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
-
D.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
E.
targetsUseCase
Indicates that one entity is aimed at or designed to address a particular use case associated with another entity.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32dd43cf88190881a5cbc80da1490 |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:13 a.m.