Triple
T3343355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QAR |
E70310
|
entity |
| Predicate | peggedRate |
P19139
|
FINISHED |
| Object | 3.64 QAR per 1 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: 3.64 QAR per 1 USD | Statement: [QAR, peggedRate, 3.64 QAR per 1 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peggedRate Context triple: [QAR, peggedRate, 3.64 QAR per 1 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.
exchangeRateRegime
Indicates the type of system or policy a country or authority uses to manage and determine the value of its currency relative to other currencies.
-
D.
usesExchangeRateRegime
Indicates that one entity adopts or operates under a particular exchange rate regime in conducting its currency or monetary arrangements.
-
E.
pegTargetCurrency
chosen
Indicates that one currency’s value is fixed or tightly linked to the value of a specified target currency.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f06f8c8190a6b7c56ac3f5ff07 |
completed | March 8, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.