Triple
T142454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pound sterling |
E2882
|
entity |
| Predicate | formerSubunitToUnit |
P507
|
FINISHED |
| Object | 240 (pre-decimal) |
—
|
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: 240 (pre-decimal) | Statement: [Pound sterling, formerSubunitToUnit, 240 (pre-decimal)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerSubunitToUnit Context triple: [Pound sterling, formerSubunitToUnit, 240 (pre-decimal)]
-
A.
subunitRatio
chosen
Indicates the proportional relationship between the quantities or sizes of different subunits within a larger whole.
-
B.
subordinateTo
Indicates that one entity holds a lower rank, status, or authority and is subject to the control, direction, or oversight of another entity.
-
C.
centralToDenomination
Indicates that something is a core or defining element within a particular religious denomination.
-
D.
subclassOf
Indicates that one class is a more specific type of another class, inheriting its characteristics as a subset of it.
-
E.
subfamily
Indicates that one taxonomic group is a subfamily within a larger family, representing an intermediate rank in biological classification.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a2580ca15481909fa3e87d804a1b23 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a2565559ac81909e0c4e095a7dfa27 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.