Triple
T18454237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europe/Stockholm |
E450861
|
entity |
| Predicate | followsEuropeanUnionDSTRules |
P131699
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Europe/Stockholm, followsEuropeanUnionDSTRules, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsEuropeanUnionDSTRules Context triple: [Europe/Stockholm, followsEuropeanUnionDSTRules, true]
-
A.
followsEuropeanDSTRules
Indicates that the subject adheres to European Daylight Saving Time rules for adjusting clocks and timekeeping.
-
B.
usesEuropeanUnionDSTRules
Indicates that the action or process is governed by, or conforms to, the European Union’s Digital Services Act (DSA) rules and requirements.
-
C.
legalStatusInEuropeanUnion
Indicates the legal status or standing that an entity holds within the jurisdictional framework of the European Union.
-
D.
wasApprovedInEUOn
Indicates that an entity received official approval within the European Union on a specified date.
-
E.
followsDSTRulesOf
Indicates that one entity adheres to or complies with the decision support tool (DST) rules defined or used by another entity.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264b200c8190be2e79ca5ea0b082 |
completed | April 19, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:31 a.m.