Triple
T16595136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OMR |
E403185
|
entity |
| Predicate | peggedApproxRate |
P19139
|
FINISHED |
| Object | 1 OMR ≈ 2.6008 USD |
—
|
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: 1 OMR ≈ 2.6008 USD | Statement: [OMR, peggedApproxRate, 1 OMR ≈ 2.6008 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peggedApproxRate Context triple: [OMR, peggedApproxRate, 1 OMR ≈ 2.6008 USD]
-
A.
currencyPeg
Indicates that one currency’s value is fixed or tightly linked to the value of another currency or a basket of currencies.
-
B.
isPegged
Indicates that one entity’s value, status, or behavior is fixed or tightly linked to that of another entity, typically so that changes in the reference entity directly determine changes in the pegged entity.
-
C.
revaluationRatio
Indicates the proportional change in value between two states or times, typically expressing how much something has been revalued relative to its previous value.
-
D.
pegTargetCurrency
chosen
Indicates that one currency’s value is fixed or tightly linked to the value of a specified target currency.
-
E.
replacedCurrencyRate
Indicates that one currency exchange rate has been superseded or substituted by another rate in a given context.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d717604819083ed60b865bbd13e |
completed | April 18, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.