Triple
T3882175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NOK |
E92848
|
entity |
| Predicate | localPluralName |
P5088
|
FINISHED |
| Object | norske kroner |
—
|
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: norske kroner | Statement: [NOK, localPluralName, norske kroner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localPluralName Context triple: [NOK, localPluralName, norske kroner]
-
A.
hasPluralForm
chosen
Indicates that one term is the plural grammatical form of another term.
-
B.
countryNameLocal
Indicates the name of a country as expressed in its own local or official language.
-
C.
languageCommonlyCalled
Indicates that one language is commonly referred to or known by a particular alternative name or label.
-
D.
pluralityJoinedBy
Indicates that multiple entities are combined or grouped together into a single plural unit, typically linked by a coordinating connector (such as "and").
-
E.
nounFormOf
Indicates that one term is the noun form derived from, or corresponding to, another term (typically a verb or adjective).
- 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_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. |
Created at: March 9, 2026, 3:20 p.m.