Triple
T2683476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | k_B |
E57427
|
entity |
| Predicate | relatedByEquation |
P37405
|
FINISHED |
| Object | R = N_A 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: R = N_A k_B | Statement: [k_B, relatedByEquation, R = N_A k_B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedByEquation Context triple: [k_B, relatedByEquation, R = N_A k_B]
-
A.
relatedByFormula
chosen
Indicates that one entity is mathematically or logically derived from, or connected to, another according to a specific formula.
-
B.
relatedConstant
Indicates that one entity is a fixed, unchanging value or constant that is associated with or linked to another entity.
-
C.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
D.
mathematicallyExpressedBy
Indicates that something (such as a concept, quantity, or relationship) is represented or captured using a specific mathematical expression or formulation.
-
E.
relatedField
Indicates that one field, topic, or area of study is connected or relevant to another in subject matter 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d7692c81909d8fd9ce3817161b |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.