Triple
T45721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chilean peso |
E895
|
entity |
| Predicate | isLegalTenderFor |
P2878
|
FINISHED |
| Object | public and private debts in Chile |
—
|
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: public and private debts in Chile | Statement: [Chilean peso, isLegalTenderFor, public and private debts in Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLegalTenderFor Context triple: [Chilean peso, isLegalTenderFor, public and private debts in Chile]
-
A.
isWorldTradeCurrency
Indicates that a currency is officially used and widely accepted as a medium of exchange in international trade and global financial transactions.
-
B.
definedMonetarySystem
Indicates that an authority or entity has established and specified the rules, structure, and characteristics of a particular monetary system.
-
C.
denomination
Indicates the specific religious or organizational branch, sect, or subgroup with which an entity is affiliated.
-
D.
languageOnBanknotes
Indicates the language that is printed or used on a country's banknotes.
-
E.
usesCurrency
Indicates that one entity conducts its financial transactions or values using the monetary unit represented by the other entity.
- F. None of above. chosen
Provenance (4 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24ba7016481909d595402712db6e2 |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24abbd32c81908cec461d9097662e |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24ba5da048190a484963cb5a9bb2b |
completed | Feb. 28, 2026, 1:57 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.