Triple
T2081854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian real |
E45260
|
entity |
| Predicate | secondSeriesBanknotesTheme |
P24888
|
FINISHED |
| Object | Brazilian fauna |
—
|
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: Brazilian fauna | Statement: [Brazilian real, secondSeriesBanknotesTheme, Brazilian fauna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondSeriesBanknotesTheme Context triple: [Brazilian real, secondSeriesBanknotesTheme, Brazilian fauna]
-
A.
banknoteDesignTheme
chosen
Indicates the thematic subject or concept depicted in the design of a banknote.
-
B.
previousBanknoteSeries
Indicates that one banknote series directly precedes another in the chronological sequence of issued banknote series.
-
C.
secondSeriesCode
Indicates that one entity is associated with a secondary or follow-up series identified by a specific code.
-
D.
lastSeriesBanknotesFeatured
Indicates that the referenced banknotes were the most recent series to prominently feature a particular subject or design.
-
E.
currentBanknoteSeries
Indicates that the subject is part of, or associated with, the banknote series that is currently in official circulation.
- 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_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. |
Created at: March 4, 2026, 7:41 p.m.