Triple
T9106580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Privatization Program |
E218491
|
entity |
| Predicate | linkedPolicy |
P48852
|
FINISHED |
| Object | fiscal reform in Saudi Arabia |
—
|
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: fiscal reform in Saudi Arabia | Statement: [Privatization Program, linkedPolicy, fiscal reform in Saudi Arabia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedPolicy Context triple: [Privatization Program, linkedPolicy, fiscal reform in Saudi Arabia]
-
A.
linkedToPolicy
chosen
Indicates that an entity is associated or connected to a specific policy, such that the policy governs, influences, or is relevant to that entity.
-
B.
associatedPolis
Indicates a relationship where an entity is linked or connected to a particular city-state (polis), typically as its relevant or related political unit.
-
C.
linkedPractice
Indicates that one practice is associated or connected to another practice in a meaningful or relevant way.
-
D.
linkedProgram
Indicates that one program is associated or connected to another program in a meaningful or dependent way.
-
E.
linkedLocation
Indicates that one location is associated or connected to another location in a meaningful way, such as being related, referenced, or contextually tied.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca57286a88190b256d2461c5c0aed |
completed | April 1, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.