Triple
T5150799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrestrial Time |
E116187
|
entity |
| Predicate | rateDefinition |
P62246
|
FINISHED |
| Object | same rate as International Atomic Time |
—
|
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: same rate as International Atomic Time | Statement: [Terrestrial Time, rateDefinition, same rate as International Atomic Time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rateDefinition Context triple: [Terrestrial Time, rateDefinition, same rate as International Atomic Time]
-
A.
rate
Indicates the numerical evaluation or assessment assigned by one entity to another based on perceived quality, performance, or value.
-
B.
rateConvention
Indicates the standard, method, or set of rules used to determine or apply a particular rate (such as interest, tax, or pricing) in a given context.
-
C.
symbolRates
Indicates a quantitative rate or value associated with a given symbol in relation to another reference (such as time, currency, or unit).
-
D.
hasRateType
Indicates the specific category or scheme under which a rate (such as a price, fee, or interest) is defined or applied.
-
E.
interestRateName
Indicates the specific label or designation used to identify a particular interest rate.
- F. None of above. chosen
Provenance (4 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c1354c81908176703b4853c1a4 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b0fbb88190851e2d7ae1bdcc09 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79bf9b088190a556dc02f10204e4 |
completed | March 20, 2026, 4:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.