Triple
T2081855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian real |
E45260
|
entity |
| Predicate | firstSeriesBanknotesIntroduced |
P35672
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [Brazilian real, firstSeriesBanknotesIntroduced, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSeriesBanknotesIntroduced Context triple: [Brazilian real, firstSeriesBanknotesIntroduced, 1994]
-
A.
previousBanknoteSeries
Indicates that one banknote series directly precedes another in the chronological sequence of issued banknote series.
-
B.
currentBanknoteSeries
Indicates that the subject is part of, or associated with, the banknote series that is currently in official circulation.
-
C.
largestBanknoteIssueYear
Indicates the year in which the largest-denomination banknote associated with an entity was issued.
-
D.
lastBanknotesIssuedIn
Indicates the location where the most recent issuance of banknotes for a given currency or authority took place.
-
E.
lastSeriesBanknotesFeatured
Indicates that the referenced banknotes were the most recent series to prominently feature a particular subject or design.
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba35c2588190933dba882f52dd17 |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb94ec400819097596732aabed854 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:41 p.m.