Triple
T15640951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman numeral system |
E376061
|
entity |
| Predicate | exampleOfSubtractivePair |
P49733
|
FINISHED |
| Object | IV = 4 |
—
|
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: IV = 4 | Statement: [Roman numeral system, exampleOfSubtractivePair, IV = 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exampleOfSubtractivePair Context triple: [Roman numeral system, exampleOfSubtractivePair, IV = 4]
-
A.
isSubtractiveCombination
Indicates that one entity is formed or derived by subtracting one or more components, values, or parts of another entity.
-
B.
usesSubtractiveNotation
chosen
Indicates that something represents values by subtracting one symbol’s value from another, as in numeral systems where smaller units placed before larger ones denote a difference rather than a sum.
-
C.
commonPair
Indicates that two entities commonly occur together or are frequently associated as a pair in some shared context.
-
D.
dualPair
Indicates that two entities form a dual pair, standing in a mathematically defined dual relationship where each is the dual counterpart of the other.
-
E.
exampleMinimalPairEffect
Indicates that two similar items are contrasted in a minimal way to highlight the effect of a single differing feature.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed06b388190bfebb77fe70e7df1 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.