Triple
T15833299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صندوق الاستثمارات العامة |
E383923
|
entity |
| Predicate | نوع_الاستثمارات |
P4851
|
FINISHED |
| Object | استثمارات محلية |
—
|
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: استثمارات محلية | Statement: [صندوق الاستثمارات العامة, نوع_الاستثمارات, استثمارات محلية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نوع_الاستثمارات Context triple: [صندوق الاستثمارات العامة, نوع_الاستثمارات, استثمارات محلية]
-
A.
investmentType
chosen
Indicates the specific category or nature of an investment associated with an entity or transaction.
-
B.
vestments
Indicates that one entity is wearing or is ceremonially clothed in special religious or official garments associated with a role or office.
-
C.
investmentOptions
Indicates that one entity offers, defines, or is associated with possible ways another entity can allocate resources or capital.
-
D.
investsIn
Indicates that one entity allocates resources, typically money or capital, into another entity with the expectation of future returns or benefits.
-
E.
investmentScope
Indicates the range or boundaries of activities, assets, or sectors that an investment is intended or allowed to cover.
- 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.