Triple
T462010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boltzmann constant |
E7358
|
entity |
| Predicate | previousUncertainty |
P9778
|
FINISHED |
| Object | was experimentally determined before 2019 |
—
|
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: was experimentally determined before 2019 | Statement: [Boltzmann constant, previousUncertainty, was experimentally determined before 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousUncertainty Context triple: [Boltzmann constant, previousUncertainty, was experimentally determined before 2019]
-
A.
uncertainty
Indicates that there is doubt, lack of sureness, or incomplete confidence about a fact, outcome, or state of affairs in the relationship or situation described.
-
B.
hasUncertainty
chosen
Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
-
C.
previousConflict
Indicates that a conflict or dispute occurred between the entities at some earlier time prior to the current context.
-
D.
previousClassification
Indicates that one classification precedes another in time or in an ordered sequence of classifications.
-
E.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efc09eac8190add4bb5823b53ba7 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2ede8eac081908dffade6a5e7950b |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.