Triple
T28987508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GW170817 |
E734728
|
entity |
| Predicate | gravitationalWaveFrequencyRange |
P1685
|
FINISHED |
| Object | about 30 to 3000 hertz |
—
|
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: about 30 to 3000 hertz | Statement: [GW170817, gravitationalWaveFrequencyRange, about 30 to 3000 hertz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gravitationalWaveFrequencyRange Context triple: [GW170817, gravitationalWaveFrequencyRange, about 30 to 3000 hertz]
-
A.
approximateWavelengthRange
Indicates the range of wavelengths that approximately characterizes or bounds the phenomenon, object, or interaction in question.
-
B.
waveLength
Indicates the distance between successive corresponding points (such as peaks) of a wave associated with the related entities.
-
C.
soundFrequencyRange
Indicates the range of sound frequencies within which the related entity operates, is effective, or is characterized.
-
D.
frequencyBand
chosen
Indicates the specific range of frequencies within which a signal, measurement, or phenomenon is defined or operates.
-
E.
usedWavelengthRange
Indicates the range of wavelengths that were employed or applied in performing a particular process, measurement, or operation.
- 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65f7a782081909a7915941423bdd3 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:15 a.m.