Triple
T26692086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stoneley waves |
E672912
|
entity |
| Predicate | haveDispersion |
P62488
|
FINISHED |
| Object | frequency-dependent attenuation |
—
|
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: frequency-dependent attenuation | Statement: [Stoneley waves, haveDispersion, frequency-dependent attenuation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveDispersion Context triple: [Stoneley waves, haveDispersion, frequency-dependent attenuation]
-
A.
dispersionType
Indicates the manner or pattern in which something is spread, scattered, or distributed relative to something else.
-
B.
hasDispersionRelation
chosen
Indicates that there exists a specific mathematical relationship between frequency (or energy) and wavevector (or momentum) characterizing how a wave or particle propagates in a given medium or system.
-
C.
dispersion
Indicates the degree to which items in a set are spread out or scattered relative to one another.
-
D.
dispersionMechanism
Indicates the process or method by which something (such as particles, organisms, or substances) is spread or distributed from one place to others.
-
E.
hasSpeakerDistribution
Indicates how speakers of a language or dialect are geographically or demographically distributed.
- 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 3:26 a.m.