Triple
T24841897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ES703 (Gran Canaria) |
E621635
|
entity |
| Predicate | belongsToStatisticalSystem |
P99315
|
FINISHED |
| Object | NUTS |
—
|
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: NUTS | Statement: [ES703 (Gran Canaria), belongsToStatisticalSystem, NUTS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToStatisticalSystem Context triple: [ES703 (Gran Canaria), belongsToStatisticalSystem, NUTS]
-
A.
partOfStatisticalSystem
chosen
Indicates that one entity functions as a component or subsystem within a broader statistical system or framework.
-
B.
belongsToAdministrativeSystem
Indicates that one entity is part of, or under the jurisdiction of, a particular administrative system or framework.
-
C.
hasStatisticalRole
Indicates that an entity participates in a context (such as a study, dataset, or analysis) with a specific statistical function or role (e.g., variable, parameter, estimator).
-
D.
belongsToSystemType
Indicates that one entity is classified under, or is a member of, a particular system type.
-
E.
belongsToMonetarySystem
Indicates that one monetary unit, instrument, or element is a constituent part of, or is governed by, a particular monetary system.
- 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 18, 2026, 5:18 a.m.