Triple
T35035228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert W. Bingham Prize |
E1010891
|
entity |
| Predicate | approximateMonetaryValue |
P482
|
FINISHED |
| Object | $25,000 |
—
|
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: $25,000 | Statement: [Robert W. Bingham Prize, approximateMonetaryValue, $25,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateMonetaryValue Context triple: [Robert W. Bingham Prize, approximateMonetaryValue, $25,000]
-
A.
monetaryValue
chosen
Indicates the amount of money associated with an entity, event, or transaction.
-
B.
valueInUSD
Indicates that a given amount or asset is expressed or evaluated in terms of its monetary value in United States dollars (USD).
-
C.
valueInCents
Indicates that one entity specifies the monetary value of another entity expressed in cents.
-
D.
valueInZloty
Indicates that one entity represents the monetary value of another entity expressed in Polish zloty (PLN).
-
E.
approximatePurse
Indicates that one entity estimates or comes close to determining the value, amount, or contents of another entity’s purse or collection of resources.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff3b32ee148190a3ba3b7600943fef |
completed | May 9, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69ff3a238af88190a2c2245e30299e48 |
completed | May 9, 2026, 1:44 p.m. |
Created at: May 3, 2026, 4:01 p.m.