Triple
T24684996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europe/Paris |
E611256
|
entity |
| Predicate | dstTransitionRuleSource |
P101654
|
FINISHED |
| Object | European Union daylight saving rules |
—
|
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: European Union daylight saving rules | Statement: [Europe/Paris, dstTransitionRuleSource, European Union daylight saving rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dstTransitionRuleSource Context triple: [Europe/Paris, dstTransitionRuleSource, European Union daylight saving rules]
-
A.
dstTransitionRuleType
Indicates the type or category of rule that governs how a system transitions into or out of daylight saving time.
-
B.
dstRuleSource
chosen
Indicates that a rule or policy originates from, or is derived from, a specified source.
-
C.
dstTransitionBasis
Indicates the rule, event, or condition that serves as the basis for transitioning from standard time to daylight saving time (or vice versa).
-
D.
dstRulePattern
Indicates a rule-based pattern that specifies or constrains the characteristics of a destination in a relationship or process.
-
E.
dstPolicy
Indicates a policy or rule that governs how actions, traffic, or effects are applied to a destination 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:17 a.m.