Triple
T4093444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instrument of Government (Sweden) |
E87757
|
entity |
| Predicate | numberOfFundamentalLawsInSystem |
P12093
|
FINISHED |
| Object | 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: 4 | Statement: [Instrument of Government (Sweden), numberOfFundamentalLawsInSystem, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFundamentalLawsInSystem Context triple: [Instrument of Government (Sweden), numberOfFundamentalLawsInSystem, 4]
-
A.
MaxwellEquationNumber
Indicates which specific numbered Maxwell equation (from the standard set of Maxwell’s equations) a given statement, formula, or representation corresponds to.
-
B.
numberOfLaws
chosen
Indicates the quantitative count of laws associated with a given entity or context.
-
C.
numberOfEquations
Indicates the total count of equations associated with or involved in a given entity or context.
-
D.
dimensionSystem
Indicates a standardized framework or scheme used to define, measure, and relate dimensions within a given context.
-
E.
numberOfIndependentEquations
Indicates the count of distinct, non-redundant equations that independently constrain or relate the variables in a system.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcda2f408190bcf2b64535193162 |
completed | March 9, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.