Triple
T179989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLP |
E3850
|
entity |
| Predicate | denominationOf |
P2871
|
FINISHED |
| Object | Chilean banknotes |
—
|
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: Chilean banknotes | Statement: [CLP, denominationOf, Chilean banknotes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denominationOf Context triple: [CLP, denominationOf, Chilean banknotes]
-
A.
denomination
Indicates the specific religious or organizational branch, sect, or subgroup with which an entity is affiliated.
-
B.
coinDenomination
Indicates the specific monetary value assigned to a coin within a currency system.
-
C.
banknoteDenomination
chosen
Indicates the specific face value assigned to a banknote in a given currency.
-
D.
isLegalTenderFor
Indicates that a particular currency or form of money is officially recognized by a governing authority as valid payment for debts and financial transactions within a specified jurisdiction.
-
E.
coinDenominationsInclude
Indicates that a set of coin denominations contains a particular denomination as one of its members.
- F. None of above.
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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25901a9188190b8f510bec8c8e7f2 |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2566b53d481909c0ed40dd3719e8c |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.