Triple
T18573069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curie constant |
E453916
|
entity |
| Predicate | appearsInExpression |
P51567
|
FINISHED |
| Object | C = (μ₀ N μ_eff²) / (3 k_B) |
—
|
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: C = (μ₀ N μ_eff²) / (3 k_B) | Statement: [Curie constant, appearsInExpression, C = (μ₀ N μ_eff²) / (3 k_B)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInExpression Context triple: [Curie constant, appearsInExpression, C = (μ₀ N μ_eff²) / (3 k_B)]
-
A.
isPartOfExpression
Indicates that something functions as a component or constituent element within a larger expression.
-
B.
usedInExpression
chosen
Indicates that one entity (typically a term, symbol, or construct) is employed as a component within another entity that represents an expression.
-
C.
hasExpressionIn
Indicates that one entity is manifested, represented, or realized within another entity, typically as a specific form, version, or expression.
-
D.
hasExpression
Indicates that an entity displays or possesses a particular facial or emotional expression.
-
E.
appearsInContextWith
Indicates that two entities are observed or used together within the same situational, textual, or usage context.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543c7f63c81909b5d5764ffd20234 |
completed | April 19, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.