Triple
T18721275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/Denver |
E457778
|
entity |
| Predicate | dstStartRuleTypical |
P32533
|
FINISHED |
| Object | second Sunday in March |
—
|
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: second Sunday in March | Statement: [America/Denver, dstStartRuleTypical, second Sunday in March]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dstStartRuleTypical Context triple: [America/Denver, dstStartRuleTypical, second Sunday in March]
-
A.
typicalStartPeriod
chosen
Indicates the usual or standard time period during which something begins or is initiated.
-
B.
standardRouteStartsFrom
Indicates that a standard or predefined route has its starting point at a specified location or entity.
-
C.
startRule
Indicates that a particular rule is the initial or entry rule from which a process, system, or evaluation begins.
-
D.
startOfRule
Indicates that one element marks the beginning boundary or initial segment of a specified rule.
-
E.
dstTransitionRuleType
Indicates the type or category of rule that governs how a system transitions into or out of daylight saving time.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56abadca08190ab1e699b7dcc0c4d |
completed | April 19, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69e478e0889c8190a118d67b200ce8ef |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:50 a.m.