Triple
T148737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bank of England |
E3384
|
entity |
| Predicate | typeOfBanknotes |
P6036
|
FINISHED |
| Object | polymer banknotes (current series) |
—
|
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: polymer banknotes (current series) | Statement: [Bank of England, typeOfBanknotes, polymer banknotes (current series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBanknotes Context triple: [Bank of England, typeOfBanknotes, polymer banknotes (current series)]
-
A.
banknoteDenomination
Indicates the specific face value assigned to a banknote in a given currency.
-
B.
languageOnBanknotes
Indicates the language that is printed or used on a country's banknotes.
-
C.
coinDenomination
Indicates the specific monetary value assigned to a coin within a currency system.
-
D.
denomination
Indicates the specific religious or organizational branch, sect, or subgroup with which an entity is affiliated.
-
E.
coinDenominationsInclude
Indicates that a set of coin denominations contains a particular denomination as one of its members.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a257ecb6f48190992c4c8ca908a81c |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a256599db08190a7b000b381d32ec4 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a25737f9188190b9690dce98aed83a |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.