Triple
T14860124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutsch–Jozsa algorithm |
E349464
|
entity |
| Predicate | measurementOutcomeForBalanced |
P115907
|
FINISHED |
| Object | any non-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: any non-zero bit string | Statement: [Deutsch–Jozsa algorithm, measurementOutcomeForBalanced, any non-zero bit string]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measurementOutcomeForBalanced Context triple: [Deutsch–Jozsa algorithm, measurementOutcomeForBalanced, any non-zero bit string]
-
A.
measuredBy
Indicates that something’s quantity, extent, or value is determined or expressed using a particular measurement method, instrument, or unit.
-
B.
statisticMeasured
Indicates that a particular statistic or quantitative measure is obtained from, or used to evaluate, a given entity or phenomenon.
-
C.
measuredValue
Indicates that a specific quantitative value has been obtained as the result of a measurement of some property or phenomenon.
-
D.
measured
Indicates that one entity has determined or quantified a property, amount, or extent of another entity using some standard or instrument.
-
E.
performedMeasurement
Indicates that an entity has carried out a specific measurement activity on another entity or phenomenon.
- 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.