Triple
T30747704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CZ071 |
E782858
|
entity |
| Predicate | hasNUTS1ParentCode |
P52934
|
FINISHED |
| Object | CZ0 |
—
|
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: CZ0 | Statement: [CZ071, hasNUTS1ParentCode, CZ0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNUTS1ParentCode Context triple: [CZ071, hasNUTS1ParentCode, CZ0]
-
A.
formerNUTSCode
Indicates that an entity was previously identified by a specific NUTS (Nomenclature of Territorial Units for Statistics) regional code that is no longer current.
-
B.
previousNUTSVersion
Indicates that one NUTS (Nomenclature of Territorial Units for Statistics) classification version directly precedes another in the version sequence.
-
C.
NUTSRegionCode
Indicates the classification of an entity according to the NUTS (Nomenclature of Territorial Units for Statistics) regional coding system used for statistical regions.
-
D.
hasParentSubdivisionSet
Indicates that an entity is associated with a set of higher-level subdivisions to which it belongs or from which it is derived.
-
E.
hasHigherLevelRegion
chosen
Indicates that one region is geographically or administratively contained within and subordinate to a larger, higher-level region.
- 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_69f224af8d8481908bea03890c5618be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 29, 2026, 8:38 p.m.