Triple
T12069885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-SAGE instrument |
E287394
|
entity |
| Predicate | hasPrecision |
P62233
|
FINISHED |
| Object | unprecedented precision for equivalence principle tests |
—
|
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: unprecedented precision for equivalence principle tests | Statement: [T-SAGE instrument, hasPrecision, unprecedented precision for equivalence principle tests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrecision Context triple: [T-SAGE instrument, hasPrecision, unprecedented precision for equivalence principle tests]
-
A.
supportsPrecisionLevels
Indicates that one entity is capable of operating at, or accommodating, multiple specified levels of precision in relation to another entity or process.
-
B.
hasDatePrecision
Indicates that a date value is associated with a specific level of granularity or exactness (such as year, month, day, or time).
-
C.
hasAccuracy
chosen
Indicates that something possesses a specified level or measure of correctness, precision, or exactness in relation to a standard or reference.
-
D.
supportsArbitraryPrecisionArithmetic
Indicates that the subject system or component can perform arithmetic operations with numbers of virtually unlimited size and precision, beyond fixed hardware-imposed limits.
-
E.
hasFraction
Indicates that one entity represents a fractional part or proportion of 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.