Triple
T9575190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plano Real |
E231027
|
entity |
| Predicate | introducedCurrency |
P49870
|
FINISHED |
| Object | real (BRL) |
E231026
|
NE 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: real (BRL) | Statement: [Plano Real, introducedCurrency, real (BRL)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: real (BRL) Context triple: [Plano Real, introducedCurrency, real (BRL)]
-
A.
BRL
chosen
BRL is the official currency code for the Brazilian real, the legal tender of Brazil.
-
B.
real
The real was the historical currency used in Portugal for several centuries before being replaced by the escudo.
-
C.
Real
"Real" is a track by American rapper Common from his socially conscious hip-hop album "Nobody's Smiling."
-
D.
Real
"Real" is a pop song by American singer Belinda Carlisle, released in the early 1990s as one of her singles following her peak late-1980s success.
-
E.
Real
Real is a coastal municipality in the province of Quezon, Philippines, known for its beaches, surfing spots, and proximity to the Sierra Madre mountains.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aa964c8190a50717edff30f10b |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152c3f1e8819099f3f9d0f1d2d7b3 |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:05 p.m.