Triple
T12061460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åström–Wittenmark adaptive control framework |
E287179
|
entity |
| Predicate | includesConcept |
P531
|
FINISHED |
| Object |
certainty equivalence principle
The certainty equivalence principle is a control design approach where unknown system parameters are replaced by their estimates and the controller is designed as if these estimates were exact.
|
E965970
|
NE FINISHED |
How this triple was built (4 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: certainty equivalence principle | Statement: [Åström–Wittenmark adaptive control framework, includesConcept, certainty equivalence principle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: certainty equivalence principle Context triple: [Åström–Wittenmark adaptive control framework, includesConcept, certainty equivalence principle]
-
A.
Allais paradox
The Allais paradox is a famous decision-making puzzle in behavioral economics that shows how people's choices under risk often violate the expected utility theory, revealing systematic inconsistencies in rational choice models.
-
B.
Ellsberg paradox
The Ellsberg paradox is a famous problem in decision theory and economics that demonstrates how people’s choices often violate expected utility theory due to ambiguity aversion.
-
C.
expected utility theory (with John von Neumann)
Expected utility theory (with John von Neumann) is a foundational framework in economics and decision theory that models how rational agents make choices under uncertainty by maximizing the expected value of a utility function.
-
D.
St. Petersburg paradox
The St. Petersburg paradox is a famous problem in probability theory and economics that highlights how a lottery with an infinite expected payoff can still attract only a finite price from rational gamblers, challenging traditional notions of expected value and decision-making under risk.
-
E.
Robustness principle
The Robustness principle is a design guideline in network and software engineering that advises systems to be conservative in what they send and liberal in what they accept to maximize interoperability and resilience.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: certainty equivalence principle Triple: [Åström–Wittenmark adaptive control framework, includesConcept, certainty equivalence principle]
Generated description
The certainty equivalence principle is a control design approach where unknown system parameters are replaced by their estimates and the controller is designed as if these estimates were exact.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: certainty equivalence principle Target entity description: The certainty equivalence principle is a control design approach where unknown system parameters are replaced by their estimates and the controller is designed as if these estimates were exact.
-
A.
Allais paradox
The Allais paradox is a famous decision-making puzzle in behavioral economics that shows how people's choices under risk often violate the expected utility theory, revealing systematic inconsistencies in rational choice models.
-
B.
Ellsberg paradox
The Ellsberg paradox is a famous problem in decision theory and economics that demonstrates how people’s choices often violate expected utility theory due to ambiguity aversion.
-
C.
expected utility theory (with John von Neumann)
Expected utility theory (with John von Neumann) is a foundational framework in economics and decision theory that models how rational agents make choices under uncertainty by maximizing the expected value of a utility function.
-
D.
St. Petersburg paradox
The St. Petersburg paradox is a famous problem in probability theory and economics that highlights how a lottery with an infinite expected payoff can still attract only a finite price from rational gamblers, challenging traditional notions of expected value and decision-making under risk.
-
E.
Robustness principle
The Robustness principle is a design guideline in network and software engineering that advises systems to be conservative in what they send and liberal in what they accept to maximize interoperability and resilience.
- F. None of above. chosen
Provenance (5 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043f82248190b05692aa0dc178a8 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6532a048190b53f96c9df948dda |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f600b51f488190a85a8f10f190b3c0 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601ef0a9c8190ac922562a8856def |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:48 p.m.