Triple
T26034936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saudi state budget |
E647524
|
entity |
| Predicate | announcementFrequency |
P160317
|
FINISHED |
| Object | annually |
—
|
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: annually | Statement: [Saudi state budget, announcementFrequency, annually]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: announcementFrequency Context triple: [Saudi state budget, announcementFrequency, annually]
-
A.
appointmentFrequency
Indicates how often appointments are scheduled or expected to occur within a given time period.
-
B.
broadcastFrequency
Indicates the specific radio or transmission frequency at which a broadcast is sent or received.
-
C.
broadcastFrequencyType
Indicates the type or category of frequency used for broadcasting a signal or transmission.
-
D.
inspectionFrequency
Indicates how often an entity is examined, checked, or reviewed within a given time period.
-
E.
recommendedUsageFrequency
Indicates how often something is advised or prescribed to be used within a given time period.
- 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6061d145c8190bd51d69f0cdabd07 |
completed | May 2, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 22, 2026, 9:07 a.m.