Triple
T32916200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basin and Range–Colorado Plateau transition |
E842017
|
entity |
| Predicate | hasGradientIn |
P63610
|
FINISHED |
| Object | crustal thickness |
—
|
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: crustal thickness | Statement: [Basin and Range–Colorado Plateau transition, hasGradientIn, crustal thickness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGradientIn Context triple: [Basin and Range–Colorado Plateau transition, hasGradientIn, crustal thickness]
-
A.
hasGradient
chosen
Indicates that one entity possesses or is characterized by a gradual change in value, intensity, or property across its extent or between two points.
-
B.
hasGradientSection
Indicates that an entity includes a portion or segment where some property changes gradually rather than remaining constant.
-
C.
usesGradientInformation
Indicates that an entity performs its operation by leveraging gradient (derivative) information, typically to guide optimization or learning steps.
-
D.
operatesOnGradient
Indicates that an entity performs operations or computations directly on a gradient or gradient-based representation.
-
E.
gradientGives
Indicates that one entity provides or determines the gradient (rate of change) of another entity.
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: May 1, 2026, 1:19 a.m.