Triple
T5612907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malagasy ariary |
E147400
|
entity |
| Predicate | valueNotation |
P6517
|
FINISHED |
| Object | 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: decimal | Statement: [Malagasy ariary, valueNotation, decimal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valueNotation Context triple: [Malagasy ariary, valueNotation, decimal]
-
A.
valueExpressed
Indicates that a particular value, opinion, or quantitative measure is articulated, represented, or made explicit by an entity or expression.
-
B.
value
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
C.
notationType
Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
-
D.
hasNumericalValue
Indicates that an entity is associated with a specific numeric quantity or measurement.
-
E.
notationSystem
chosen
Indicates a relationship where one entity is the system or method of notation used to represent or encode another entity.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0212143708190b5234407334ab216 |
completed | March 22, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69c01b1b3c98819080687d18ab10a914 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:39 p.m.