Triple
T3739357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Investment Fund |
E79660
|
entity |
| Predicate | roleInSaudiVision2030 |
P51169
|
FINISHED |
| Object | key investment arm for economic transformation |
—
|
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: key investment arm for economic transformation | Statement: [Public Investment Fund, roleInSaudiVision2030, key investment arm for economic transformation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSaudiVision2030 Context triple: [Public Investment Fund, roleInSaudiVision2030, key investment arm for economic transformation]
-
A.
roleInMedina
Indicates the specific function, position, or responsibility an entity holds within the context of Medina.
-
B.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
C.
roleInIsrael
Indicates that an entity holds or held a specific role, position, or function within the context of Israel.
-
D.
aimsToDevelop
Indicates an entity’s intention or effort to create, improve, or bring about another entity, outcome, or capability.
-
E.
roleInEcosystem
Indicates the specific function or contribution an entity has within an ecosystem and how it interacts with other components of that system.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb404b908190b6b4ee583dee3cc9 |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc048f28c819092bed16a95a3cac1 |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc198b95481908ca6e4e875aae446 |
completed | March 8, 2026, 6:36 p.m. |
Created at: March 8, 2026, 3:34 p.m.