Triple
T14860123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutsch–Jozsa algorithm |
E349464
|
entity |
| Predicate | measurementOutcomeForConstant |
P84363
|
FINISHED |
| Object | all-zero bit string |
—
|
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: all-zero bit string | Statement: [Deutsch–Jozsa algorithm, measurementOutcomeForConstant, all-zero bit string]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measurementOutcomeForConstant Context triple: [Deutsch–Jozsa algorithm, measurementOutcomeForConstant, all-zero bit string]
-
A.
measuredValue
chosen
Indicates that a specific quantitative value has been obtained as the result of a measurement of some property or phenomenon.
-
B.
measurementSetting
Indicates the specific conditions, parameters, or configuration under which a measurement is taken or recorded.
-
C.
statisticMeasured
Indicates that a particular statistic or quantitative measure is obtained from, or used to evaluate, a given entity or phenomenon.
-
D.
measurement
Indicates a relationship where one entity quantifies or assigns a value to some property, attribute, or extent of another entity according to a defined scale or standard.
-
E.
performedMeasurement
Indicates that an entity has carried out a specific measurement activity on another entity or phenomenon.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44598e48190b759a05ed2d9ecaf |
completed | April 14, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.