Triple
T17483289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NRZ-L |
E425716
|
entity |
| Predicate | signalLevelDuration |
P81277
|
FINISHED |
| Object | constant throughout each bit interval |
—
|
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: constant throughout each bit interval | Statement: [NRZ-L, signalLevelDuration, constant throughout each bit interval]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signalLevelDuration Context triple: [NRZ-L, signalLevelDuration, constant throughout each bit interval]
-
A.
signalLevel
Indicates the intensity or strength of a transmitted or received signal in a communication context.
-
B.
signalDuration_weeks
Indicates the length of time, measured in weeks, that a signal persists or is in effect.
-
C.
pulseDuration
chosen
Indicates the length of time that a pulse or discrete signal remains active or at a specified level.
-
D.
timeIntervalLength
Indicates the duration or length of a specified time interval.
-
E.
signalProperty
Indicates that one entity has a specific characteristic, attribute, or feature related to a signal.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d06c2881909632845dd7a6b1e3 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.