Triple
T3468580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACDT |
E73196
|
entity |
| Predicate | typicalDSTEndRule |
P9275
|
FINISHED |
| Object | first Sunday in April (varies by legislation) |
—
|
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: first Sunday in April (varies by legislation) | Statement: [ACDT, typicalDSTEndRule, first Sunday in April (varies by legislation)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDSTEndRule Context triple: [ACDT, typicalDSTEndRule, first Sunday in April (varies by legislation)]
-
A.
typicalDSTEndMonth
chosen
Indicates the month in which daylight saving time typically ends for a given region or system.
-
B.
DSTEndRule
Indicates the rule or condition that specifies when daylight saving time ends in a given timekeeping system.
-
C.
DSTStartRule
Indicates the rule or condition that determines when daylight saving time begins for a given time zone or region.
-
D.
typicalDSTStartMonth
Indicates the month in which daylight saving time typically begins for a given place or jurisdiction.
-
E.
usesDSTEndInSouthernAutumn
Indicates that a region or entity observes daylight saving time that ends during the southern hemisphere’s autumn season.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb376d288190abac85f2ffa853dc |
completed | March 8, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69adae05bb0081909dc7e4779d6e05ef |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.