Triple
T1458046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australia/Lord_Howe |
E31442
|
entity |
| Predicate | dstRuleType |
P16241
|
FINISHED |
| Object | region-specific |
—
|
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: region-specific | Statement: [Australia/Lord_Howe, dstRuleType, region-specific]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dstRuleType Context triple: [Australia/Lord_Howe, dstRuleType, region-specific]
-
A.
dstTransitionRuleType
chosen
Indicates the type or category of rule that governs how a system transitions into or out of daylight saving time.
-
B.
dstRulePattern
Indicates a rule-based pattern that specifies or constrains the characteristics of a destination in a relationship or process.
-
C.
deltaType
Indicates a classification of the kind or category of change (difference) that has occurred between two related states or versions.
-
D.
displayRule
Indicates the rule or condition that determines how something should be visually presented or displayed.
-
E.
derivationType
Indicates the specific manner or process by which one entity is derived or obtained from another.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59a462881908e84b27846a6bc04 |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47ec5108190b1772237f2e5d90b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.