Triple
T3882507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Constitution Day |
E92856
|
entity |
| Predicate | observedByNorwegianDiaspora |
P52135
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Norwegian Constitution Day, observedByNorwegianDiaspora, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observedByNorwegianDiaspora Context triple: [Norwegian Constitution Day, observedByNorwegianDiaspora, yes]
-
A.
spokenInDiaspora
Indicates that a language or dialect is used by a community living outside its original homeland or region of origin.
-
B.
observedBy
Indicates that an entity is perceived, monitored, or recorded by another entity acting as the observer.
-
C.
diasporaCharacteristic
Indicates that an entity possesses a quality, feature, or attribute specifically associated with a diaspora community or condition.
-
D.
observedVia
Indicates that something is perceived, detected, or measured through a particular medium, instrument, method, or channel.
-
E.
diasporaUse
Indicates that members of a diaspora community use, practice, or engage with something (e.g., a language, custom, or resource) in the context of their life outside their place of origin.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7574c408190893e70bf80514838 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef14f9bb4819098e64b527b546d74 |
completed | March 9, 2026, 4:11 p.m. |
Created at: March 9, 2026, 3:20 p.m.