Triple
T26692037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P-waves |
E672911
|
entity |
| Predicate | typicalVelocityInCrust |
P198336
|
FINISHED |
| Object | about 5 to 7 km/s |
—
|
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 5 to 7 km/s | Statement: [P-waves, typicalVelocityInCrust, about 5 to 7 km/s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalVelocityInCrust Context triple: [P-waves, typicalVelocityInCrust, about 5 to 7 km/s]
-
A.
typicalFocalDepthRange
Indicates the usual range of depths at which an event or phenomenon (such as an earthquake) most commonly occurs below the surface.
-
B.
maximumCrustalExtension
Indicates the greatest amount of stretching or thinning that the Earth’s crust has undergone in a given region or event.
-
C.
subductionRate
Indicates the rate at which one tectonic plate moves beneath another into the mantle along a subduction zone.
-
D.
crustalComposition
Indicates the type and proportion of materials that make up a planet or moon’s outer solid layer (its crust).
-
E.
crustType
Indicates the specific style or form of crust associated with an item, such as a pizza or baked good.
- 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fedec693b08190b0f8bfdb921e0766 |
completed | May 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69fede16c1d48190a20d8a9c5722c307 |
completed | May 9, 2026, 7:11 a.m. |
| PDg | Predicate description generation | batch_69fedec5e1708190a0b13be7533d55d8 |
completed | May 9, 2026, 7:14 a.m. |
Created at: April 27, 2026, 3:26 a.m.