Triple
T37925436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Drawing Rights |
E946079
|
entity |
| Predicate | valuationReviewFrequency |
P93054
|
FINISHED |
| Object | every five years |
—
|
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: every five years | Statement: [Special Drawing Rights, valuationReviewFrequency, every five years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valuationReviewFrequency Context triple: [Special Drawing Rights, valuationReviewFrequency, every five years]
-
A.
inspectionFrequency
chosen
Indicates how often an entity is examined, checked, or reviewed within a given time period.
-
B.
dealFrequency
Indicates how often a particular deal, transaction, or agreement occurs within a given period.
-
C.
budgetApprovalFrequency
Indicates how often a budget is reviewed and formally approved within a given period.
-
D.
serviceFrequencyType
Indicates how often a service occurs or is scheduled within a given time period.
-
E.
measurementFrequency
Indicates how often a measurement is taken or recorded over time.
- 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.