Triple
T7150763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wien displacement constant |
E166683
|
entity |
| Predicate | isUsedToEstimate |
P49064
|
FINISHED |
| Object | surface temperature of stars |
—
|
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: surface temperature of stars | Statement: [Wien displacement constant, isUsedToEstimate, surface temperature of stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUsedToEstimate Context triple: [Wien displacement constant, isUsedToEstimate, surface temperature of stars]
-
A.
estimatedUsing
Indicates that one entity’s value, state, or outcome is derived by applying an estimation method, model, or procedure based on another entity.
-
B.
isUsedToCompute
chosen
Indicates that one entity serves as an input, basis, or resource for performing a calculation or deriving a result about another entity.
-
C.
areEstimatedIn
Indicates that a value or quantity is approximated or inferred within a specified context, framework, or unit.
-
D.
separatesEstimationOf
Indicates that one entity distinguishes or isolates the estimation or assessment of another entity from other factors or components.
-
E.
isUsedToTest
Indicates that one entity serves as a means or tool for evaluating, examining, or verifying another entity.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7f28b188190b1732ca711666531 |
completed | March 27, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69c6e1caf4e48190b47bb398a3c1554d |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:46 p.m.