Triple
T26692047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P-waves |
E672911
|
entity |
| Predicate | attenuation |
P148133
|
FINISHED |
| Object | generally lower attenuation than S-waves |
—
|
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: generally lower attenuation than S-waves | Statement: [P-waves, attenuation, generally lower attenuation than S-waves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attenuation Context triple: [P-waves, attenuation, generally lower attenuation than S-waves]
-
A.
isAttenuated
Indicates that the strength, intensity, or effect of something has been reduced or weakened relative to a prior or normal state.
-
B.
audiation
Indicates the cognitive process of internally hearing, imagining, or understanding music without any external sound being physically present.
-
C.
decline
Indicates a decrease or reduction in the level, amount, quality, or intensity of something over time.
-
D.
traction
Indicates the degree to which one entity’s movement or influence effectively grips, pulls, or gains momentum relative to another entity or medium.
-
E.
reduction
chosen
Indicates a relationship where something is decreased in amount, size, intensity, or degree compared to a prior state or reference.
- 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_69f6174310d48190b1ef1e515fed7990 |
completed | May 2, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:26 a.m.