Triple
T16552447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NUTS |
E402104
|
entity |
| Predicate | NUTS0Definition |
P2415
|
FINISHED |
| Object | country level |
—
|
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: country level | Statement: [NUTS, NUTS0Definition, country level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NUTS0Definition Context triple: [NUTS, NUTS0Definition, country level]
-
A.
NUTSRegionCode
chosen
Indicates the classification of an entity according to the NUTS (Nomenclature of Territorial Units for Statistics) regional coding system used for statistical regions.
-
B.
statisticalUnitOf
Indicates that one entity serves as the statistical unit (the basic unit of observation or analysis) for which data or statistics are collected or reported about another entity.
-
C.
topLevelAdministrativeTerritorialEntity
Indicates that one entity is the primary or highest-level administrative territorial division in which the other entity is located or governed.
-
D.
inseeCode
Indicates the official INSEE (French national statistics institute) code assigned to an entity, typically identifying a specific geographic or administrative unit.
-
E.
populationUnit
Indicates the unit of measurement in which a population quantity is expressed (e.g., individuals, households, families).
- 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.