Triple
T2173759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London penetration depth |
E48480
|
entity |
| Predicate | occursInEquation |
P12675
|
FINISHED |
| Object | B(x) = B(0) exp(-x / λ) |
—
|
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: B(x) = B(0) exp(-x / λ) | Statement: [London penetration depth, occursInEquation, B(x) = B(0) exp(-x / λ)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occursInEquation Context triple: [London penetration depth, occursInEquation, B(x) = B(0) exp(-x / λ)]
-
A.
isSolutionOf
Indicates that one entity is a correct answer or satisfies the conditions of a given problem, equation, or task.
-
B.
mathematicallyExpressedBy
chosen
Indicates that something (such as a concept, quantity, or relationship) is represented or captured using a specific mathematical expression or formulation.
-
C.
numberOfIndependentEquations
Indicates the count of distinct, non-redundant equations that independently constrain or relate the variables in a system.
-
D.
occursInTheory
Indicates that an event, concept, or phenomenon is situated, described, or analyzed within a particular theoretical framework or theory.
-
E.
areUsedIn
Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.