Triple
T14604310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venezuelan peso |
E342786
|
entity |
| Predicate | denominationSystem |
P8049
|
FINISHED |
| Object | peso and real |
E876589
|
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: peso and real | Statement: [Venezuelan peso, denominationSystem, peso and real]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: peso and real Context triple: [Venezuelan peso, denominationSystem, peso and real]
-
A.
peso
chosen
The peso is a monetary unit used as the official currency in several Latin American countries and the Philippines, originating from the Spanish colonial silver coin.
-
B.
Peso
Peso is the gentle penguin medic of the Octonauts crew, known for his caring nature and dedication to helping injured sea creatures.
-
C.
peso boliviano
The peso boliviano was Bolivia’s former national currency, used before the introduction of the boliviano.
-
D.
Pesa
Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
-
E.
Pesa
The Pesa is a river in Tuscany, central Italy, known for flowing through the Chianti region before joining the Arno.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44bf67c8190b4c48a7715f9443e |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94ce6c208190a732f1a25700f07c |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:25 a.m.