Triple
T15833295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صندوق الاستثمارات العامة |
E383923
|
entity |
| Predicate | الهدف |
P64674
|
FINISHED |
| Object | تعزيز التنمية المستدامة في المملكة العربية السعودية |
—
|
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: تعزيز التنمية المستدامة في المملكة العربية السعودية | Statement: [صندوق الاستثمارات العامة, الهدف, تعزيز التنمية المستدامة في المملكة العربية السعودية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الهدف Context triple: [صندوق الاستثمارات العامة, الهدف, تعزيز التنمية المستدامة في المملكة العربية السعودية]
-
A.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
B.
goalIn
Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity or context.
-
C.
aimOf
chosen
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
D.
حمله
Indicates an aggressive action in which one entity attacks, assaults, or launches an offensive against another.
-
E.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e6670d48190a456581dd951f168 |
completed | April 16, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.