Triple
T5652733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Cross of the Royal Norwegian Order of St. Olav |
E124542
|
entity |
| Predicate | associatedOrderMottoLanguage |
P4406
|
FINISHED |
| Object | Norwegian |
—
|
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: Norwegian | Statement: [Grand Cross of the Royal Norwegian Order of St. Olav, associatedOrderMottoLanguage, Norwegian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedOrderMottoLanguage Context triple: [Grand Cross of the Royal Norwegian Order of St. Olav, associatedOrderMottoLanguage, Norwegian]
-
A.
orderMottoPromoted
Indicates that a motto associated with an order has been elevated or given increased prominence or status.
-
B.
languageOfMotto
chosen
Indicates the language in which a motto is written or expressed.
-
C.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
D.
hasLanguageOfOrders
Indicates that one entity uses or is associated with a particular language for issuing orders or commands to another entity.
-
E.
mottoTransliteration
Indicates the representation of a motto’s original text using the characters of another writing system (its transliteration).
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d8a2588190b10de59edbc8841f |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2274b48190b2ef57ed728f785c |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:42 p.m.