Triple
T25434454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NURSE Corps |
E637337
|
entity |
| Predicate | currencyOfBenefits |
P115600
|
FINISHED |
| Object | United States dollar |
—
|
NE NERFINISHED |
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: United States dollar | Statement: [NURSE Corps, currencyOfBenefits, United States dollar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currencyOfBenefits Context triple: [NURSE Corps, currencyOfBenefits, United States dollar]
-
A.
pensionCurrency
Indicates the currency in which a pension amount is denominated or paid.
-
B.
currencyGiven
Indicates that one entity transfers or provides money or a monetary unit to another entity.
-
C.
beneficeType
Indicates the specific category or kind of benefice (ecclesiastical office or endowed church position) associated with an entity.
-
D.
currencyUsedFor
chosen
Indicates that a particular currency is used as the medium of exchange or legal tender for a given entity, such as a country, region, or organization.
-
E.
currencyType
Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
- 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 21, 2026, 1:59 p.m.