Triple
T10662023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentine peso |
E251248
|
entity |
| Predicate | currencyFamily |
P35649
|
FINISHED |
| Object |
peso
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.
|
E876589
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Argentine peso, currencyFamily, peso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: peso Context triple: [Argentine peso, currencyFamily, peso]
-
A.
Massa Bruta
Massa Bruta is the popular nickname of Brazilian football club Red Bull Bragantino, reflecting its strong and combative playing style.
-
B.
Gramos
Gramos is a mountain massif on the border between Greece and Albania, known for its rugged terrain and natural beauty within the Pindus mountain range.
-
C.
Massa
Massa is a small coastal town in southern Morocco known for its proximity to the Souss-Massa National Park and its traditional Berber culture.
-
D.
Massa
Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
-
E.
Massa
Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: peso Triple: [Argentine peso, currencyFamily, peso]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: peso Target entity description: 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.
-
A.
Massa Bruta
Massa Bruta is the popular nickname of Brazilian football club Red Bull Bragantino, reflecting its strong and combative playing style.
-
B.
Gramos
Gramos is a mountain massif on the border between Greece and Albania, known for its rugged terrain and natural beauty within the Pindus mountain range.
-
C.
Massa
Massa is a small coastal town in southern Morocco known for its proximity to the Souss-Massa National Park and its traditional Berber culture.
-
D.
Massa
Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
-
E.
Massa
Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
- F. None of above. chosen
Provenance (5 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e018d1e881909b8e62682104e842 |
completed | April 8, 2026, 11:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a8cabc88190b430cb08ed0fc515 |
completed | April 10, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69d97cd3eab48190a191f0d8278ef761 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e189800819087bf6af15b2370a2 |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:08 p.m.