Triple
T16552428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NUTS classification |
E402103
|
entity |
| Predicate | acronymExpansionLanguage |
P43870
|
FINISHED |
| Object | Nomenclature des unités territoriales statistiques |
—
|
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: Nomenclature des unités territoriales statistiques | Statement: [NUTS classification, acronymExpansionLanguage, Nomenclature des unités territoriales statistiques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acronymExpansionLanguage Context triple: [NUTS classification, acronymExpansionLanguage, Nomenclature des unités territoriales statistiques]
-
A.
acronymExpansion
Indicates that one term is an acronym whose letters stand for the words in another, longer expression.
-
B.
hasAcronymExpansionLanguage
chosen
Indicates that a specified language is the language in which an acronym’s full expansion is expressed.
-
C.
commonAbbreviationLanguage
Indicates that one language is commonly abbreviated or represented by another language or code in written or symbolic form.
-
D.
hasAcronymVariantLanguage
Indicates that a language has an alternative form represented as an acronym variant.
-
E.
acronymOfNativeName
Indicates that one term is an acronym formed from the native-language version of another name.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc6735481908b59bbf80fb3469b |
completed | April 18, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:15 a.m.