Triple
T16466165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | haléř |
E399937
|
entity |
| Predicate | roundingOfCashPaymentsAfterCoinWithdrawal |
P122888
|
FINISHED |
| Object | to nearest 1 CZK |
—
|
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: to nearest 1 CZK | Statement: [haléř, roundingOfCashPaymentsAfterCoinWithdrawal, to nearest 1 CZK]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roundingOfCashPaymentsAfterCoinWithdrawal Context triple: [haléř, roundingOfCashPaymentsAfterCoinWithdrawal, to nearest 1 CZK]
-
A.
coinDenomination
Indicates the specific monetary value assigned to a coin within a currency system.
-
B.
denominationAfterConversion
Indicates the religious denomination or affiliation an entity adopts as a result of a conversion event.
-
C.
valueInCents
Indicates that one entity specifies the monetary value of another entity expressed in cents.
-
D.
coinDenominationsInclude
Indicates that a set of coin denominations contains a particular denomination as one of its members.
-
E.
coinedDenomination
Indicates that an entity created or introduced a particular name, term, or denomination for something.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dcc52f88190958b408e49cfb512 |
completed | April 18, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:11 a.m.