Triple
T11812464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States–Russia prisoner exchange |
E280906
|
entity |
| Predicate | exchangeRatio |
P101425
|
FINISHED |
| Object | 1:1 |
—
|
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: 1:1 | Statement: [United States–Russia prisoner exchange, exchangeRatio, 1:1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exchangeRatio Context triple: [United States–Russia prisoner exchange, exchangeRatio, 1:1]
-
A.
exchangeCurrency
Indicates a relationship where one party converts or trades an amount of one currency for an equivalent amount of another currency.
-
B.
exchangeType
Indicates the kind or category of exchange occurring between entities, such as the method, direction, or nature of what is being traded or transferred.
-
C.
exchangeSymbol
Indicates that one entity serves as the ticker or trading symbol used to represent another entity on a specific exchange.
-
D.
exchangeRegime
Indicates the type of currency exchange system or policy framework governing how a country’s currency is valued and traded relative to other currencies.
-
E.
exchangeRateCharacteristic
Indicates a relationship where a specific property or feature is attributed to an exchange rate, characterizing how that rate behaves or is defined.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a6574b7081908f7451d2bb233967 |
completed | April 10, 2026, 7:27 a.m. |
Created at: April 8, 2026, 9:42 p.m.