Triple
T21066563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debye–Scherrer method |
E518987
|
entity |
| Predicate | measurementOutput |
P84363
|
FINISHED |
| Object | diffraction angle 2θ |
—
|
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: diffraction angle 2θ | Statement: [Debye–Scherrer method, measurementOutput, diffraction angle 2θ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measurementOutput Context triple: [Debye–Scherrer method, measurementOutput, diffraction angle 2θ]
-
A.
measurementSetting
Indicates the specific conditions, parameters, or configuration under which a measurement is taken or recorded.
-
B.
measuredValue
chosen
Indicates that a specific quantitative value has been obtained as the result of a measurement of some property or phenomenon.
-
C.
measurementRealization
Indicates that a specific measurement activity or implementation realizes, instantiates, or operationalizes an abstract measurement specification or standard.
-
D.
measurement
Indicates a relationship where one entity quantifies or assigns a value to some property, attribute, or extent of another entity according to a defined scale or standard.
-
E.
measureType
Indicates the specific kind or category of measurement that characterizes how a quantity or value is assessed.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb455fc81909cc63fa0e87b6a35 |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:45 p.m.