Triple
T20508281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahamian pound |
E503489
|
entity |
| Predicate | denominationSymbol |
P140357
|
FINISHED |
| Object | £ |
—
|
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: £ | Statement: [Bahamian pound, denominationSymbol, £]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denominationSymbol Context triple: [Bahamian pound, denominationSymbol, £]
-
A.
denominationName
Indicates the specific religious or organizational denomination to which an entity belongs or is associated.
-
B.
denomination
Indicates the specific religious or organizational branch, sect, or subgroup with which an entity is affiliated.
-
C.
denominationType
Indicates the specific category or kind of denomination associated with an entity, such as its type within a broader classification of denominations.
-
D.
denominationCode
Indicates the specific monetary unit or value category assigned to a currency, security, or financial instrument.
-
E.
currencyDenomination
Indicates the specific unit or face value of a currency in which an amount of money is expressed.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dc8f3c881908ed2e0257a057e73 |
completed | April 20, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:36 a.m.