Triple
T30924386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pound (unit of currency) |
E787816
|
entity |
| Predicate | typicalDecimalizationYearExample |
P207322
|
FINISHED |
| Object | 1971 (United Kingdom decimalization) |
—
|
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: 1971 (United Kingdom decimalization) | Statement: [pound (unit of currency), typicalDecimalizationYearExample, 1971 (United Kingdom decimalization)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDecimalizationYearExample Context triple: [pound (unit of currency), typicalDecimalizationYearExample, 1971 (United Kingdom decimalization)]
-
A.
decimalized
Indicates that something has been converted into or expressed in decimal form, typically changing from another numeral or measurement system to a base-10 representation.
-
B.
divisionYear
Indicates the year in which a division or split of an entity took place.
-
C.
decennial
Indicates that something occurs, is measured, or is defined with a frequency or interval of once every ten years.
-
D.
typicalProjectionYear
Indicates the year that is typically used as the reference point for projecting or forecasting values in a given context.
-
E.
decennialSequenceNumber
Indicates the ordinal position of an item or event within a recurring ten-year (decennial) sequence.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 8:51 p.m.