Triple
T29100117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | π/4 DQPSK |
E736616
|
entity |
| Predicate | usesDifferentialEncoding |
P170412
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [π/4 DQPSK, usesDifferentialEncoding, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesDifferentialEncoding Context triple: [π/4 DQPSK, usesDifferentialEncoding, true]
-
A.
hasDifferential
Indicates that one entity is the derivative or rate-of-change expression corresponding to another entity.
-
B.
isDifferential
Indicates that one quantity represents the infinitesimal change or derivative of another with respect to a given variable.
-
C.
usesEncoder
Indicates that one entity employs or relies on an encoder component or mechanism to perform its function or process data.
-
D.
hasDifferentials
Indicates that one entity possesses or is associated with differential components, mechanisms, or calculations relative to another entity.
-
E.
usesCodec
Indicates that one entity employs or relies on a specific codec to encode, decode, or process data.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 28, 2026, 11:11 a.m.