Triple
T14860122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutsch–Jozsa algorithm |
E349464
|
entity |
| Predicate | finalMeasurementRegister |
P115906
|
FINISHED |
| Object | first n qubits |
—
|
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: first n qubits | Statement: [Deutsch–Jozsa algorithm, finalMeasurementRegister, first n qubits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalMeasurementRegister Context triple: [Deutsch–Jozsa algorithm, finalMeasurementRegister, first n qubits]
-
A.
performedMeasurement
Indicates that an entity has carried out a specific measurement activity on another entity or phenomenon.
-
B.
hasMeasurement
Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
-
C.
measurementSetting
Indicates the specific conditions, parameters, or configuration under which a measurement is taken or recorded.
-
D.
statisticMeasured
Indicates that a particular statistic or quantitative measure is obtained from, or used to evaluate, a given entity or phenomenon.
-
E.
wasPreviouslyMeasuredAs
Indicates that an entity had a specific measurement or value at an earlier time, which may differ from its current measurement.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:54 a.m.