Triple
T24685013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europe/Paris |
E611256
|
entity |
| Predicate | dstChangePattern |
P156974
|
FINISHED |
| Object | last Sunday of March and last Sunday of October (EU 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: last Sunday of March and last Sunday of October (EU rules) | Statement: [Europe/Paris, dstChangePattern, last Sunday of March and last Sunday of October (EU rules)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dstChangePattern Context triple: [Europe/Paris, dstChangePattern, last Sunday of March and last Sunday of October (EU rules)]
-
A.
transferPattern
Indicates a recurring or structured way in which something is transferred from one entity to another, such as a typical route, sequence, or configuration of transfers.
-
B.
dstRulePattern
Indicates a rule-based pattern that specifies or constrains the characteristics of a destination in a relationship or process.
-
C.
transmissionPattern
Indicates how something is passed or spread from one entity to another, such as the mode or route of transmission.
-
D.
shiftPattern
Indicates a recurring schedule or arrangement that defines how work or activity shifts are organized over time.
-
E.
migrationPattern
Indicates the typical routes, timing, and destinations followed by entities as they move periodically from one location or region to another.
- 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_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. |
| PDg | Predicate description generation | batch_69f410fc18808190b4e47d5a71d3a126 |
completed | May 1, 2026, 2:33 a.m. |
Created at: April 18, 2026, 3:17 a.m.