Triple
T10662024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentine peso |
E251248
|
entity |
| Predicate | replacedCurrency |
P2867
|
FINISHED |
| Object |
austral
The austral was Argentina's former national currency used during the late 20th century before being succeeded by the Argentine peso.
|
E876590
|
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: austral | Statement: [Argentine peso, replacedCurrency, austral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: austral Context triple: [Argentine peso, replacedCurrency, austral]
-
A.
Australiana
Australiana refers to cultural, historical, and artistic materials that relate specifically to Australia, its people, and its heritage.
-
B.
Australes
Australes is the French name for the Austral Islands, a remote archipelago in French Polynesia known for its small communities and traditional Polynesian culture.
-
C.
Aust
Aust is a small village in South Gloucestershire, England, situated near the Severn Estuary and known historically for its ferry crossing and proximity to the Severn Bridge.
-
D.
Aus
Aus is a small town in southern Namibia known for its desert landscapes, World War I history, and nearby feral horses.
-
E.
AU
AU is the commonly used abbreviation for Anna University, a prominent public technical university based in Chennai, India.
- 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: austral Triple: [Argentine peso, replacedCurrency, austral]
Generated description
The austral was Argentina's former national currency used during the late 20th century before being succeeded by the Argentine peso.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: austral Target entity description: The austral was Argentina's former national currency used during the late 20th century before being succeeded by the Argentine peso.
-
A.
Australiana
Australiana refers to cultural, historical, and artistic materials that relate specifically to Australia, its people, and its heritage.
-
B.
Australes
Australes is the French name for the Austral Islands, a remote archipelago in French Polynesia known for its small communities and traditional Polynesian culture.
-
C.
Aust
Aust is a small village in South Gloucestershire, England, situated near the Severn Estuary and known historically for its ferry crossing and proximity to the Severn Bridge.
-
D.
Aus
Aus is a small town in southern Namibia known for its desert landscapes, World War I history, and nearby feral horses.
-
E.
AU
AU is the commonly used abbreviation for the African Union, a continental organization that promotes political and economic cooperation among African states.
- 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.